{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load libraries\n",
    "\n",
    "import numpy as np\n",
    "import os\n",
    "import csv\n",
    "# import pylab\n",
    "# import seaborn\n",
    "# import scipy.stats as sp\n",
    "import pickle\n",
    "# import imageio\n",
    "# from scipy.spatial import distance\n",
    "# import json\n",
    "from collections import OrderedDict\n",
    "# import os.path as osp\n",
    "import pandas as pd\n",
    "# import copy\n",
    "import scipy.stats as ss\n",
    "# import sys\n",
    "import matplotlib.pyplot as plt\n",
    "import json\n",
    "from datetime import date\n",
    "import seaborn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['08-05_CEB_Teach_100_env_MiniGrid-TeachingGamesDemonstrating100TwoSwitches-8x8-v0_multi-modal-babyai11-agent_arch_original_endpool_res_custom-ppo-2_exploration-bonus-type_cell_exploration-bonus-params_3_50', '22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0', '07-05_Teach_100_env_MiniGrid-TeachingGamesSpeaking100TwoSwitches-8x8-v0_multi-modal-babyai11-agent_arch_original_endpool_res_custom-ppo-2_exploration-bonus-type_grid_exploration-bonus-params_0.5_50', '19-05_500K_HELP_env_MiniGrid-Exiter-8x8-v0_multi-modal-babyai11-agent_arch_original_endpool_res_custom-ppo-2_exploration-bonus-type_cell_exploration-bonus-params_3_50_exploration-bonus-tanh_0.6', '24-05_NeurIPS_DiverseExit_NO_BONUS_env_MiniGrid-DiverseExit-8x8-v0_multi-modal-babyai11-agent_arch_original_endpool_res_custom-ppo-2', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0', '23-05_LEB_ManyTeachingGames_20_env_MiniGrid-ManyTeachingGamesMulti-8x8-v0_multi-modal-babyai11-agent_arch_original_endpool_res_custom-ppo-2_exploration-bonus-type_lang_exploration-bonus-params_20_50_exploration-bonus-tanh_0.6', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0', '21-05_LEB_EasyTeachingGames_20_env_MiniGrid-EasyTeachingGamesMulti-8x8-v0_multi-modal-babyai11-agent_arch_original_endpool_res_custom-ppo-2_exploration-bonus-type_lang_exploration-bonus-params_20_50_exploration-bonus-tanh_0.6', 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'22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0', '22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0', '21-05_NeurIPS_small_bonus_TalkItOutPolite_env_MiniGrid-TalkItOutPolite-8x8-v0_multi-modal-babyai11-agent_arch_original_endpool_res_custom-ppo-2_exploration-bonus-type_lang_exploration-bonus-params_5_50_exploration-bonus-tanh_0.6', '26-05_NeurIPS_Help_NoSocial_NO_BONUS_ABL_env_MiniGrid-AblationExiter-8x8-v0_env_args_hidden_npc_True_multi-modal-babyai11-agent_arch_original_endpool_res_custom-ppo-2', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0', '21-05_LEB_EasyTeachingGames_25_env_MiniGrid-EasyTeachingGamesMulti-8x8-v0_multi-modal-babyai11-agent_arch_original_endpool_res_custom-ppo-2_exploration-bonus-type_lang_exploration-bonus-params_25_50_exploration-bonus-tanh_0.6', '22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0', '26-05_NeurIPS_DiverseExit_NoSocial_NO_BONUS_env_MiniGrid-DiverseExit-8x8-v0_env_args_hidden_npc_True_multi-modal-babyai11-agent_arch_original_endpool_res_custom-ppo-2', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0', '07-05_Teach_100_env_MiniGrid-TeachingGamesMulti100TwoSwitchesHard-8x8-v0_multi-modal-babyai11-agent_arch_original_endpool_res_custom-ppo-2_exploration-bonus-type_grid_exploration-bonus-params_0.1_50', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0', '30-04_SpyingKnow_50_env_MiniGrid-SpyingKnowledgeable50TwoSwitches-5x5-v0_multi-modal-babyai11-agent_arch_original_endpool_res_custom-ppo-2_exploration-bonus-type_grid_exploration-bonus-params_1_50', '18-05_LEB_EasyTeachingGames_env_MiniGrid-EasyTeachingGamesPoke-8x8-v0_multi-modal-babyai11-agent_arch_original_endpool_res_custom-ppo-2_exploration-bonus-type_lang_exploration-bonus-params_10_50_exploration-bonus-tanh_0.6', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0']\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "extracting data for 22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0...\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/7 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/3 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/2 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/6 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/1 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4/log.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/4 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/0 -> 48\n",
      "storage/22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5/log.csv\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0/5 -> 48\n",
      "done\n",
      "OrderedDict()\n",
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      "not using per_model_color\n",
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('22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0'), ('22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0'), ('22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0'), ('22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0'), ('22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0')])\n",
      "OrderedDict()\n"
     ]
    }
   ],
   "source": [
    "# Experimental data loading\n",
    "\n",
    "def get_all_runs(logdir, minlen=20):\n",
    "    #print(logdir)\n",
    "    \"\"\"\n",
    "    Recursively look through logdir and load experimental log files\n",
    "    \"\"\"\n",
    "    datasets = []\n",
    "    for root, _, files in os.walk(logdir):\n",
    "        if 'log.csv' in files:\n",
    "            run_name = root[8:]\n",
    "            exp_name = None\n",
    "            \n",
    "            # 1 - load a config file containing hyperparameters\n",
    "            config = None\n",
    "            config_path = open(os.path.join(root,'config.json'))\n",
    "            config = json.load(config_path)\n",
    "            if 'exp_name' in config:\n",
    "                exp_name = config['exp_name']       \n",
    "            \n",
    "            # 2 - load train data\n",
    "            print(os.path.join(root,'log.csv'))\n",
    "            exp_data = pd.read_csv(os.path.join(root,'log.csv'))\n",
    "            #exp_data = exp_data[::load_subsample_step]\n",
    "            data_dict = exp_data.to_dict(\"list\")\n",
    "            \n",
    "            # 3 - try to load periodic test data\n",
    "            if 'tests.pkl' in files:\n",
    "                test_data = pickle.load(open(os.path.join(root,\"tests.pkl\"), \"rb\"))\n",
    "                data_dict.update(test_data)\n",
    "            \n",
    "            data_dict['config'] = config\n",
    "                \n",
    "            nb_epochs = len(data_dict['frames'])\n",
    "            print('{} -> {}'.format(run_name, nb_epochs))\n",
    "\n",
    "\n",
    "            datasets.append(data_dict)\n",
    "    return datasets\n",
    "\n",
    "def get_datasets(rootdir, load_only=\"\"):\n",
    "    _, models_list, _ = next(os.walk(rootdir))\n",
    "    print(models_list)\n",
    "    for dir_name in models_list.copy():\n",
    "        # add \"ignore\" in a directory name to avoid loading its content\n",
    "        if \"ignore\" in dir_name or load_only not in dir_name:\n",
    "            models_list.remove(dir_name)\n",
    "    for expe_name in list(labels.keys()):\n",
    "        if expe_name not in models_list:\n",
    "            del labels[expe_name]\n",
    "            \n",
    "    # setting per-model type colors    \n",
    "    for i,m_name in enumerate(models_list):\n",
    "        for m_type, m_color in per_model_colors.items():\n",
    "            if m_type in m_name:\n",
    "                colors[m_name] = m_color\n",
    "        print(\"extracting data for {}...\".format(m_name))\n",
    "        m_id = m_name\n",
    "        models_saves[m_id] = OrderedDict()\n",
    "        models_saves[m_id]['data'] = get_all_runs(rootdir+m_name)\n",
    "        print(\"done\")\n",
    "        if m_name not in labels:\n",
    "            if 'ALP-GMM' in m_name:\n",
    "                labels[m_name] = 'ALP-GMM'\n",
    "            elif 'Oracle' in m_name:\n",
    "                labels[m_name] = 'Oracle'\n",
    "            else:\n",
    "                labels[m_name] = m_name\n",
    "\n",
    "    \"\"\"\n",
    "    retrieve all experiences located in \"data to vizu\" folder\n",
    "    \"\"\"\n",
    "default_colors = [\"orange\",\"magenta\",'green','black',u'#ff7f0e',\n",
    "                      \"cyan\", \"pink\", u'#1f77b4',\"grey\",\"r\",\n",
    "                     \"darkorchid\",\"sienna\",\"blue\",\"magenta\", \"indigo\",\"mediumseagreen\",'aqua',\n",
    "                'deeppink','silver','khaki','goldenrod','y','y','y','y','y','y','y','y','y','y','y','y' ]  + ['y']*50\n",
    "labels = OrderedDict()\n",
    "per_model_colors = OrderedDict()\n",
    "# per_model_colors = OrderedDict([('ALP-GMM',u'#1f77b4'),\n",
    "#                                 ('hmn','pink'),\n",
    "#                                 ('ADR','black')])\n",
    "\n",
    "# LOAD DATA\n",
    "models_saves = OrderedDict()\n",
    "colors = OrderedDict()\n",
    "#get_datasets(\"storage/final_coinThief_env_exps/\"/,load_only='05')\n",
    "get_datasets(\"storage/\", load_only=\"22-09_PPO_RND\")\n",
    "#get_datasets(\"storage/\",load_only='25-05')\n",
    "#\"#NeurIPS_2020/metacl_campain_2/\")\n",
    "print(per_model_colors)\n",
    "print(labels)\n",
    "if per_model_colors:  # order runs for legend order as in per_models_colors, with corresponding colors\n",
    "    ordered_labels = OrderedDict()\n",
    "    for teacher_type in per_model_colors.keys():\n",
    "        for k,v in labels.items():\n",
    "            if teacher_type in k:\n",
    "                ordered_labels[k] = v\n",
    "    labels = ordered_labels\n",
    "else:\n",
    "    print('not using per_model_color')\n",
    "    for k in models_saves.keys():\n",
    "        labels[k] = k\n",
    "        \n",
    "print(labels)\n",
    "print(colors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "'19-07_PPO_tuning_frames-per-proc_40_lr_0.001_entropy-coef_0.05_recurrence_5_epochs_4_batch-size_640_env_MiniGrid-TalkItOutPolite-8x8-v0'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-3-d255d59a2726>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mm_id_1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'19-07_PPO_tuning_frames-per-proc_40_lr_0.001_entropy-coef_0.05_recurrence_5_epochs_4_batch-size_640_env_MiniGrid-TalkItOutPolite-8x8-v0'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mm_id_2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'12-07_PPO_tuning_frames-per-proc_20_lr_0.001_entropy-coef_0_recurrence_10_epochs_8_batch-size_640_env_MiniGrid-CoinThief-8x8-v0'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodels_saves\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mm_id_1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'data'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'frames'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodels_saves\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mm_id_2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'data'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'frames'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyError\u001b[0m: '19-07_PPO_tuning_frames-per-proc_40_lr_0.001_entropy-coef_0.05_recurrence_5_epochs_4_batch-size_640_env_MiniGrid-TalkItOutPolite-8x8-v0'"
     ]
    }
   ],
   "source": [
    "# prints keys of data_dict\n",
    "m_id_1 = '19-07_PPO_tuning_frames-per-proc_40_lr_0.001_entropy-coef_0.05_recurrence_5_epochs_4_batch-size_640_env_MiniGrid-TalkItOutPolite-8x8-v0'\n",
    "m_id_2 = '12-07_PPO_tuning_frames-per-proc_20_lr_0.001_entropy-coef_0_recurrence_10_epochs_8_batch-size_640_env_MiniGrid-CoinThief-8x8-v0'\n",
    "print(models_saves[m_id_1]['data'][0]['frames'][-1])\n",
    "print(models_saves[m_id_2]['data'][0]['frames'][-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Plot utils\n",
    "    \n",
    "def plot_with_shade(subplot_nb, ax,x,y,err,color,shade_color,label,\n",
    "                  y_min=None,y_max=None, legend=False, leg_size=30, leg_loc='best', title=None,\n",
    "                  ylim=[0,100], xlim=[0,40], leg_args={}, leg_linewidth=13.0, linewidth=10.0, ticksize=20,\n",
    "                   zorder=None, xlabel='perf',ylabel='env steps'):\n",
    "    #plt.rcParams.update({'font.size': 15})\n",
    "    ax.locator_params(axis='x', nbins=4)\n",
    "    ax.locator_params(axis='y', nbins=3)\n",
    "    ax.tick_params(axis='both', which='major', labelsize=ticksize)\n",
    "    ax.plot(x,y, color=color, label=label,linewidth=linewidth,zorder=zorder)\n",
    "    ax.fill_between(x,y-err,y+err,color=shade_color,alpha=0.2)\n",
    "    if legend:\n",
    "        leg = ax.legend(loc=leg_loc, **leg_args) #34\n",
    "        for legobj in leg.legendHandles:\n",
    "            legobj.set_linewidth(leg_linewidth)\n",
    "    ax.set_xlabel(xlabel, fontsize=30)\n",
    "    if subplot_nb == 0:\n",
    "        ax.set_ylabel(ylabel, fontsize=30,labelpad=-4)\n",
    "    ax.set_xlim(xmin=xlim[0],xmax=xlim[1])\n",
    "    ax.set_ylim(bottom=ylim[0],top=ylim[1])\n",
    "    if title:\n",
    "        ax.set_title(title, fontsize=22)\n",
    "        \n",
    "def plot_boxplot(d, labels, ax, colors, ylim=[0,60], label_size=20):\n",
    "\n",
    "    print(labels)\n",
    "    print(colors)\n",
    "    ax.set_ylim(bottom=ylim[0],top=ylim[1])\n",
    "    #plt.rcParams.update({'font.size': 15})\n",
    "    ax.locator_params(axis='x', nbins=5)\n",
    "    ax.locator_params(axis='y', nbins=5)\n",
    "    ax.tick_params(axis='both', which='major', labelsize=label_size)\n",
    "    medianprops = dict(linewidth=3.5, color='gold')\n",
    "    bplot = ax.boxplot(d, labels=list(labels), patch_artist=True,\n",
    "                      medianprops=medianprops)#, labels.items(), ax[0],colors)#whis=[5,95]\n",
    "    \n",
    "    # rectangular box plot\n",
    "#     bplot1 = axes[0].boxplot(all_data,\n",
    "#                              vert=True,  # vertical box alignment\n",
    "#                              patch_artist=True,  # fill with color\n",
    "#                              labels=labels)  # will be used to label x-ticks\n",
    "#     axes[0].set_title('Rectangular box plot')\n",
    "\n",
    "    # fill with colors\n",
    "    for patch, color in zip(bplot['boxes'], colors):\n",
    "        patch.set_facecolor(color)\n",
    "    ax.set_ylabel('% Mastered env', fontsize=20)\n",
    "\n",
    "def plot_all_and_median(subplot_nb, ax,x,ys,color,label, legend=False, title=None,\n",
    "                        xlim=[0,40],ylim=[0,100]):\n",
    "    ax.locator_params(axis='x', nbins=5)\n",
    "    ax.locator_params(axis='y', nbins=5)\n",
    "    ax.tick_params(axis='both', which='major', labelsize=30)\n",
    "    #print(ys)\n",
    "            \n",
    "    median = np.median(np.array(ys), axis=0)\n",
    "    #print(median)\n",
    "    for k,y in enumerate(ys):\n",
    "        #print(\"max:{} last:{}\".format(max(y), y[-1]))\n",
    "        ax.plot(x[0:min_len],y, color=color, linewidth=1.5, alpha=0.5)\n",
    "    ax.plot(x[0:min_len],median, color=color, linewidth=7 , label=label)\n",
    "    if legend:\n",
    "        leg = ax.legend(loc='bottom right', fontsize=25)\n",
    "    ax.set_xlabel('Million steps', fontsize=18)\n",
    "    if subplot_nb == 0:\n",
    "        ax.set_ylabel('% Mastered env', fontsize=18)\n",
    "    ax.set_xlim(xmin=xlim[0],xmax=xlim[1])\n",
    "    ax.set_ylim(bottom=ylim[0],top=ylim[1])\n",
    "    if title:\n",
    "        ax.set_title(title, fontsize=22)\n",
    "        \n",
    "def get_percentiles(data, label, max_ep=100):\n",
    "    nb_zero_perf = np.count_nonzero(data[:max_ep]==0.0)\n",
    "    print('{} -> nb zeros: {}'.format(label, nb_zero_perf))\n",
    "    print('{} -> percentile: {}'.format(label, np.percentile(data[:max_ep],[25,50,75,90])))\n",
    "\n",
    "def get_welch(algo_0='amb', algo_1='rmb', epoch=0, metric='nb_mastered', verbose=True):\n",
    "    if verbose:\n",
    "        print(\"algo0:{}, algo1:{}\".format(algo_0,algo_1))\n",
    "    #print(j)\n",
    "    final_explos = dict()\n",
    "    for i,(m_id,d) in enumerate(models_saves.items()):\n",
    "        if algo_0 in m_id or algo_1 in m_id:\n",
    "            final_explos[m_id] = []\n",
    "            #print(m_id)\n",
    "            runs_data = d['data']\n",
    "            ys = []\n",
    "            if epoch != 0:\n",
    "                long_enough = True\n",
    "                for run in runs_data:\n",
    "                    #print(len(run[metric]))\n",
    "                    if len(run[metric]) < epoch:\n",
    "                        long_enough = False\n",
    "                if not long_enough:\n",
    "                    print(\"aborting: {} not long enough\".format(m_id))\n",
    "                    return\n",
    "            for run in runs_data:\n",
    "                final_explos[m_id].append(run[metric][epoch-1])\n",
    "                    \n",
    "    #print(final_explos[algo_0])\n",
    "    #print(final_explos[algo_1])\n",
    "    if verbose:\n",
    "        print('welch {}'.format(ss.ttest_ind(final_explos[algo_0], final_explos[algo_1], equal_var=False)))\n",
    "    else:\n",
    "        res = ss.ttest_ind(final_explos[algo_0], final_explos[algo_1], equal_var=False)\n",
    "        #print(res)\n",
    "        print('welch {}_{}'.format(np.sign(res.statistic), res.pvalue))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# Metric plot   \n",
    "\n",
    "def smooth(x_, n=50):\n",
    "        if type(x_) == list:\n",
    "            x_ = np.array(x_)\n",
    "        return np.array([x_[max(i-n, 0):i+1].mean() for i in range(len(x_))])\n",
    "\n",
    "def plot_data(metric=\"bin_extrinsic_return_mean\", include=None, exclude=None,\n",
    "              verbose=None, title=None, save=False, y_lim=None, x_lim=None, format_dict=None, leg_args={},\n",
    "             smooth_coef=None, model_order=None, subsample_step = None):\n",
    "    \n",
    "    metric = metric#\"extrinsic_return_mean\"#'duration'#'mission_string_observed_mean'\n",
    "    \n",
    "    if \"test\" in metric:\n",
    "        # TODO CHANGE BY TEST_STEP_NB\n",
    "        plot_step = 'test_step_nb'\n",
    "    else:\n",
    "        plot_step = 'frames'\n",
    "\n",
    "    f, ax = plt.subplots(1,1,figsize=(10.0,6.0))\n",
    "    ax = [ax]\n",
    "    #plt.axhline(y=0.13, color='red', linestyle='--',label=\"RND agent\", linewidth=5)\n",
    "    #plt.axhline(y=0.94, color='grey', linestyle='--',label=\"RND agent (dance len=2)\", linewidth=5)\n",
    "    max_y = -np.inf\n",
    "    min_y = np.inf\n",
    "    max_steps = 0\n",
    "    \n",
    "    if model_order:\n",
    "        to_iterate = model_order\n",
    "    else:\n",
    "        to_iterate = models_saves.keys()\n",
    "    \n",
    "    for i,m_id in enumerate(to_iterate):\n",
    "        if verbose: print(m_id)\n",
    "        if include and not any([all([sub_inc in m_id for sub_inc in inc]) for inc in include]):\n",
    "            continue\n",
    "        if exclude and any([exc in m_id for exc in exclude]):\n",
    "            continue\n",
    "\n",
    "        runs_data = models_saves[m_id]['data']\n",
    "        ys = []\n",
    "        \n",
    "        # determine minimal run length across seeds\n",
    "        min_len = np.min([len(run[plot_step]) for run in runs_data])\n",
    "\n",
    "        #compute env steps (x axis)\n",
    "        steps = np.array(runs_data[0][plot_step], dtype=np.int) / 1000000\n",
    "        steps = steps[:min_len]\n",
    "\n",
    "        #print(runs_data[0]['frames'])\n",
    "        #steps = np.cumsum(np.array(runs_data[0]['frames'], dtype=np.float16))\n",
    "\n",
    "        for run in runs_data:  \n",
    "            data = run[metric]\n",
    "            if len(data) > min_len:\n",
    "                if verbose:\n",
    "                    print(\"run has too many {} datapoints ({}). Discarding {}\".format(metric, len(data),\n",
    "                                                                                  len(data)-min_len))\n",
    "                data = data[0:min_len]\n",
    "            ys.append(data)\n",
    "        ys_same_len = ys  # WARNING, SO RUNS MUST HAVE SAME LEN, TODO implement\n",
    "\n",
    "        # computes stats\n",
    "        sems = np.std(ys_same_len,axis=0)/np.sqrt(len(ys_same_len)) # sem\n",
    "        stds = np.std(ys_same_len,axis=0) # std\n",
    "        means = np.mean(ys_same_len,axis=0)\n",
    "        \n",
    "        if format_dict:\n",
    "            color = None\n",
    "            for str_pattern, (name, c) in format_dict.items():\n",
    "                if str_pattern == m_id:\n",
    "                    color = c\n",
    "                    label = name\n",
    "                    break\n",
    "            assert color, \"no match for {}\".format(m_id) \n",
    "        else:\n",
    "            label = preprocess_label(m_id)\n",
    "            color = default_colors[i]\n",
    "\n",
    "        # per-metric adjusments\n",
    "        ylabel=metric\n",
    "        if metric == 'bin_extrinsic_return_mean':\n",
    "            ylabel = \"success_rate\"\n",
    "        if metric == 'duration':\n",
    "            ylabel = \"time (hours)\"\n",
    "            means = means / 3600\n",
    "            sems = sems / 3600\n",
    "            stds = stds / 3600\n",
    "\n",
    "        #plot x y bounds\n",
    "        curr_max_y = np.max(means)\n",
    "        curr_min_y = np.min(means)\n",
    "        curr_max_steps = np.max(steps)\n",
    "        if curr_max_y > max_y:\n",
    "            max_y = curr_max_y\n",
    "        if curr_min_y < min_y:\n",
    "            min_y = curr_min_y\n",
    "        if curr_max_steps > max_steps:\n",
    "            max_steps = curr_max_steps\n",
    "\n",
    "        if subsample_step:\n",
    "            steps = steps[0::subsample_step]\n",
    "            means = means[0::subsample_step]\n",
    "            stds = stds[0::subsample_step]\n",
    "            sems = sems[0::subsample_step]\n",
    "        ylim = y_lim if y_lim else [min_y, round(max_y)]\n",
    "        \n",
    "        if smooth_coef:\n",
    "            means = smooth(means,smooth_coef)\n",
    "            stds = smooth(stds,smooth_coef)\n",
    "        \n",
    "        plot_with_shade(0, ax[0],steps,means, stds, color, color,label,\n",
    "                legend=True, leg_args=leg_args,\n",
    "                        xlim=[0,steps[-1] if not x_lim else x_lim],\n",
    "                        ylim=ylim, xlabel=\"env steps (millions)\",ylabel=ylabel, title=title)\n",
    "\n",
    "        #ax[0].xaxis.labelpad = -5\n",
    "        #ax[0].yaxis.labelpad = -5\n",
    "        #handles, labels = ax[0].get_legend_handles_labels()\n",
    "        # sort both labels and handles by labels\n",
    "        #labels, handles = zip(*sorted(zip(labels, handles), key=lambda t: t[0]))\n",
    "        #ax[0].legend(handles, labels)\n",
    "        plt.tight_layout()\n",
    "        if save:\n",
    "            d = date.today().strftime(\"%d-%m-%Y_\")\n",
    "            f.savefig('graphics/{}{}{}_demo.svg'.format(d, metric, title+'_' if title else ''))\n",
    "            f.savefig('graphics/{}{}{}_demo.png'.format(d, metric, title+'_' if title else ''))\n",
    "        #plt.clear()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    " # name pre-processing\n",
    "def preprocess_label(label):\n",
    "    label = label[6:]\n",
    "    label = label.replace('_env_args_','')\n",
    "    label = label.replace(\"MiniGrid-DanceWithOneNPC\",\"dance_\")\n",
    "    label = label.replace(\"_multi-modal-babyai11-agent_arch_original_endpool_res_custom-ppo-2\",\n",
    "                          \"multi-mod_BabyAI\")\n",
    "    label = label.replace(\"_arch_original_endpool_res\",\"\")\n",
    "    label = label.replace(\"DL\",\"_len_\")\n",
    "    label = label.replace(\"dance_move_n_speak_env_dance\",\"dance_\")\n",
    "    label = label.replace(\"-8x8-v0\",\"\")\n",
    "    label = label.replace(\"len\",\"length\")\n",
    "    label = label.replace(\"dance\",\"dance_\",1)\n",
    "    label = label.replace(\"hidden_npc_False\",\"\")\n",
    "    label = label.replace(\"dance__babyai11_agent\",\"dance_BabyAInoLanguage\")\n",
    "    label = label.replace(\"tag_visible_coins_True\",\"coins_tagged\")\n",
    "    label = label.replace(\"exploration-bonus-params_5_50\",\"explo_bonus\")\n",
    "    label = label.replace('_few_actions_True','')\n",
    "    label = label.replace('few_actions_True','')\n",
    "    label = label.replace('npc_view_size_5_','')\n",
    "    label = label.replace('npc_look_around_True','')\n",
    "    label = label.replace('__','_')\n",
    "    label = label.replace(\"hidden_npc_True\",\"_hidden_NPC\")\n",
    "    #print(label)\n",
    "    return label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n",
      "/home/flowers/miniconda3/envs/act_and_speak/lib/python3.6/site-packages/ipykernel_launcher.py:123: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. \n"
     ]
    },
    {
     "ename": "IndexError",
     "evalue": "list index out of range",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-7-72481ec7f7d3>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m### test new evaluation\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m plot_data(include=[[\"Coin\"]],\n\u001b[0;32m----> 3\u001b[0;31m           title=\"train Coin\", save=False, x_lim=6.0, y_lim=[0,1.0])\n\u001b[0m\u001b[1;32m      4\u001b[0m plot_data(include=[[\"Talk\",\"06\"]],\n\u001b[1;32m      5\u001b[0m           title=\"train Talk\", save=False, x_lim=6.0, y_lim=[0,1.0])\n",
      "\u001b[0;32m<ipython-input-5-bc3de9e418f9>\u001b[0m in \u001b[0;36mplot_data\u001b[0;34m(metric, include, exclude, verbose, title, save, y_lim, x_lim, format_dict, leg_args, smooth_coef, model_order, subsample_step)\u001b[0m\n\u001b[1;32m     76\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     77\u001b[0m             \u001b[0mlabel\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpreprocess_label\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mm_id\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 78\u001b[0;31m             \u001b[0mcolor\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdefault_colors\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     79\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     80\u001b[0m         \u001b[0;31m# per-metric adjusments\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mIndexError\u001b[0m: list index out of range"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### test new evaluation\n",
    "plot_data(include=[[\"Coin\"]],\n",
    "          title=\"train Coin\", save=False, x_lim=6.0, y_lim=[0,1.0])\n",
    "plot_data(include=[[\"Talk\",\"06\"]],\n",
    "          title=\"train Talk\", save=False, x_lim=6.0, y_lim=[0,1.0])\n",
    "\n",
    "plot_data(include=[[\"Coin\"]],\n",
    "          title=\"Coin\", save=False, x_lim=6.0, y_lim=[0,1.0], metric='test_success_rates')\n",
    "plot_data(include=[[\"Talk\",\"06\"]],\n",
    "          title=\"Talk\", save=False, x_lim=6.0, y_lim=[0,1.0], metric='test_success_rates')\n",
    "\n",
    "plot_data(include=[[\"Coin\"]],\n",
    "          title=\"Coin\", save=False, x_lim=6.0, y_lim=[0,1.0], metric='test_success_rates')\n",
    "plot_data(include=[[\"Talk\",\"06\"]],\n",
    "          title=\"Talk\", save=False, x_lim=6.0, y_lim=[0,1.0], metric='test_success_rates')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "'21-05_final_coinThief_env_args_few_actions_True_tag_visible_coins_True_npc_view_size_5_npc_look_around_True'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-8-82e01d280fbc>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     32\u001b[0m           \u001b[0msave\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx_lim\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m30.0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_lim\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m1.0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     33\u001b[0m           \u001b[0mformat_dict\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mformat_dict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mleg_args\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mleg_args\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msmooth_coef\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel_order\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlabel_order\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 34\u001b[0;31m          subsample_step = 50)\n\u001b[0m\u001b[1;32m     35\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     36\u001b[0m \u001b[0;31m#get_welch(algo_0=ppo, algo_1=ppo_hidden, epoch=0, metric=\"bin_extrinsic_return_mean\", verbose=True)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-5-bc3de9e418f9>\u001b[0m in \u001b[0;36mplot_data\u001b[0;34m(metric, include, exclude, verbose, title, save, y_lim, x_lim, format_dict, leg_args, smooth_coef, model_order, subsample_step)\u001b[0m\n\u001b[1;32m     38\u001b[0m             \u001b[0;32mcontinue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     39\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 40\u001b[0;31m         \u001b[0mruns_data\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodels_saves\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mm_id\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'data'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     41\u001b[0m         \u001b[0mys\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     42\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyError\u001b[0m: '21-05_final_coinThief_env_args_few_actions_True_tag_visible_coins_True_npc_view_size_5_npc_look_around_True'"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ppo = '21-05_final_coinThief_env_args_few_actions_True_npc_view_size_5_npc_look_around_True'\n",
    "ppo_explo = '21-05_final_coinThief_env_args_few_actions_True_npc_view_size_5_npc_look_around_True_exploration-bonus-params_2_50'\n",
    "ppo_hidden = '21-05_final_coinThief_env_args_few_actions_True_hidden_npc_True__npc_view_size_5_npc_look_around_True'\n",
    "\n",
    "ppo_ez = '21-05_final_coinThief_env_args_few_actions_True_tag_visible_coins_True_npc_view_size_5_npc_look_around_True'\n",
    "ppo_explo_ez = '21-05_final_coinThief_env_args_few_actions_True_tag_visible_coins_True_npc_view_size_5_npc_look_around_True_exploration-bonus-params_2_50'\n",
    "\n",
    "\n",
    "format_dict = OrderedDict()\n",
    "format_dict[ppo_ez] = ('PPO (coin tags)',\"#043252\")\n",
    "format_dict[ppo_explo_ez] = ('PPO+Explo (coin tags)',\"darkred\")\n",
    "\n",
    "format_dict[ppo_explo] = ('PPO+Explo','indianred')\n",
    "format_dict[ppo] = ('PPO',\"#1f77b4\")\n",
    "format_dict[ppo_hidden] = ('Unsocial PPO',\"grey\")\n",
    "\n",
    "label_order = [ppo_ez, ppo_explo_ez,ppo_hidden, ppo, ppo_explo]\n",
    "\n",
    "leg_args = {'ncol':2,\n",
    "                        'columnspacing':1.0,\n",
    "                        'handlelength':1.0,\n",
    "                        'frameon':False,\n",
    "              # X\n",
    "                        'bbox_to_anchor':(0.00, 0.23, 0.10, .102),\n",
    "                       'labelspacing':0.2,\n",
    "                       'fontsize':27}\n",
    "\n",
    "\n",
    "plot_data(include=[[\"coin\"]],\n",
    "          exclude=['debug'],\n",
    "#          title=\"CoinThief (npc look around + reduced fov)\",\n",
    "          save=True, x_lim=30.0, y_lim=[0,1.0],\n",
    "          format_dict=format_dict, leg_args=leg_args, smooth_coef=10, model_order=label_order,\n",
    "         subsample_step = 50)\n",
    "\n",
    "#get_welch(algo_0=ppo, algo_1=ppo_hidden, epoch=0, metric=\"bin_extrinsic_return_mean\", verbose=True)\n",
    "#get_welch(algo_0=ppo_explo_ez, algo_1=ppo_ez, epoch=0, metric=\"bin_extrinsic_return_mean\", verbose=True)\n",
    "#get_welch(algo_0=ppo_explo_ez, algo_1=ppo_explo, epoch=0, metric=\"bin_extrinsic_return_mean\", verbose=True)\n",
    "\n",
    "# plot_data(metric='rreturn_mean',\n",
    "#           include=[[\"coin\"]],\n",
    "#           exclude=['4_50','3_50','2_50','hidden'],\n",
    "#           title=\"CoinThief (npc look around + reduced fov)\", save=True, x_lim=30.0)\n",
    "\n",
    "# plot_data(metric='extrinsic_return_mean',\n",
    "#           include=[[\"coin\"]],\n",
    "#           exclude=['4_50','3_50','2_50','hidden'],\n",
    "#           title=\"CoinThief (npc look around + reduced fov)\", save=True, x_lim=30.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plot_data(include=[[\"dance\"]],\n",
    "          exclude=['debug'],\n",
    "#          title=\"CoinThief (npc look around + reduced fov)\",\n",
    "          save=True, x_lim=30.0, y_lim=[0,1.0],\n",
    "          format_dict=None, leg_args=leg_args)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Neurips 2021 - DANCE ENV PLOT\n",
    "\n",
    "plot_data(include=[[\"dance\"]],\n",
    "          title=\"Dance\", save=False, x_lim=30.0, y_lim=1.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Neurips 2021 - SocialEnv Plot\n",
    "\n",
    "plot_data(include=[[\"social\"]],\n",
    "          title=\"SocialEnv (all envs)\", save=True, x_lim=30.0, y_lim=1.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# PPO HP tuning plots\n",
    "\n",
    "### test new evaluation\n",
    "# plot_data(include=[[\"Coin\"]],\n",
    "#           title=\"train Coin\", save=False, x_lim=6.0, y_lim=[0,1.0])\n",
    "# plot_data(include=[[\"Talk\",\"06\"]],\n",
    "#           title=\"train Talk\", save=False, x_lim=6.0, y_lim=[0,1.0])\n",
    "\n",
    "plot_data(include=[[\"Coin\",\"recurrence_10\",\"1280\",\"0.01\"]],\n",
    "          title=\"Coin\", save=False, x_lim=12.0, y_lim=[0,1.0], metric='test_success_rates')\n",
    "# plot_data(include=[[\"Talk\",\"06\"]],\n",
    "#           title=\"Talk\", save=False, x_lim=12.0, y_lim=[0,1.0], metric='test_success_rates')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief: 9.8304M, 0.35 +- 0.06, perc:[0.32 0.34 0.38], max:0.46 seed 7\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief: 9.8304M, 0.28 +- 0.03, perc:[0.25 0.29 0.3 ], max:0.32 seed 0\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.0 +- 0.0, perc:[0. 0. 0.], max:0.0 seed 7\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.0 +- 0.0, perc:[0. 0. 0.], max:0.02 seed 7\n",
      "PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief: 9.8304M, 0.34 +- 0.02, perc:[0.33 0.34 0.34], max:0.38 seed 4\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief: 9.8304M, 0.32 +- 0.05, perc:[0.28 0.32 0.35], max:0.42 seed 7\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief: 9.8304M, 0.32 +- 0.03, perc:[0.29 0.33 0.35], max:0.36 seed 2\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief: 9.8304M, 0.31 +- 0.03, perc:[0.3  0.32 0.32], max:0.38 seed 3\n",
      "PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief: 9.8304M, 0.34 +- 0.02, perc:[0.32 0.34 0.36], max:0.36 seed 1\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief: 9.8304M, 0.28 +- 0.04, perc:[0.27 0.29 0.3 ], max:0.34 seed 6\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.2 +- 0.08, perc:[0.21 0.23 0.24], max:0.25 seed 0\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief: 9.8304M, 0.32 +- 0.04, perc:[0.3  0.32 0.35], max:0.38 seed 7\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.04 +- 0.02, perc:[0.03 0.04 0.05], max:0.08 seed 1\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief: 9.8304M, 0.32 +- 0.05, perc:[0.29 0.32 0.34], max:0.4 seed 2\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief: 9.8304M, 0.33 +- 0.03, perc:[0.32 0.34 0.34], max:0.38 seed 4\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.06 +- 0.04, perc:[0.04 0.06 0.08], max:0.12 seed 6\n",
      "PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.01 +- 0.02, perc:[0. 0. 0.], max:0.06 seed 5\n",
      "PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief: 9.8304M, 0.31 +- 0.05, perc:[0.29 0.32 0.35], max:0.36 seed 6\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief: 9.8304M, 0.31 +- 0.05, perc:[0.3  0.32 0.35], max:0.38 seed 1\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.06 +- 0.09, perc:[0.  0.  0.1], max:0.22 seed 2\n",
      "PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief: 9.8304M, 0.33 +- 0.02, perc:[0.31 0.34 0.35], max:0.35 seed 3\n",
      "PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.12 +- 0.11, perc:[0.   0.14 0.22], max:0.26 seed 1\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.04 +- 0.02, perc:[0.02 0.04 0.05], max:0.07 seed 7\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief: 9.8304M, 0.28 +- 0.05, perc:[0.24 0.26 0.32], max:0.38 seed 2\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.2 +- 0.08, perc:[0.19 0.24 0.24], max:0.27 seed 4\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.01 +- 0.02, perc:[0. 0. 0.], max:0.06 seed 3\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.03 +- 0.06, perc:[0.   0.   0.02], max:0.19 seed 4\n",
      "PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief: 9.8304M, 0.33 +- 0.05, perc:[0.3  0.34 0.38], max:0.38 seed 0\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.02 +- 0.04, perc:[0.   0.   0.02], max:0.11 seed 3\n",
      "PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief: 6.9632M, 0.32 +- 0.03, perc:[0.32 0.33 0.34], max:0.35 seed 2\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief: 9.8304M, 0.3 +- 0.04, perc:[0.26 0.31 0.32], max:0.35 seed 6\n",
      "PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.15 +- 0.1, perc:[0.05 0.21 0.22], max:0.24 seed 2\n",
      "PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite: 7.7824M, 0.23 +- 0.02, perc:[0.22 0.23 0.24], max:0.26 seed 6\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.12 +- 0.1, perc:[0.04 0.13 0.21], max:0.23 seed 5\n",
      "PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite: 7.9872M, 0.23 +- 0.02, perc:[0.23 0.24 0.25], max:0.25 seed 6\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief: 9.8304M, 0.34 +- 0.03, perc:[0.32 0.33 0.36], max:0.38 seed 2\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.06 +- 0.02, perc:[0.04 0.06 0.08], max:0.09 seed 1\n",
      "PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief: 6.3488M, 0.32 +- 0.04, perc:[0.29 0.32 0.36], max:0.38 seed 2\n",
      "PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite: 9.6256M, 0.22 +- 0.02, perc:[0.21 0.22 0.24], max:0.25 seed 4\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.03 +- 0.08, perc:[0. 0. 0.], max:0.24 seed 5\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.05 +- 0.03, perc:[0.03 0.04 0.06], max:0.12 seed 2\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief: 9.8304M, 0.3 +- 0.04, perc:[0.28 0.31 0.32], max:0.35 seed 0\n",
      "PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief: 9.8304M, 0.31 +- 0.03, perc:[0.29 0.3  0.33], max:0.36 seed 1\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.01 +- 0.02, perc:[0. 0. 0.], max:0.06 seed 1\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.21 +- 0.08, perc:[0.22 0.23 0.25], max:0.27 seed 1\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief: 9.8304M, 0.29 +- 0.05, perc:[0.27 0.31 0.32], max:0.36 seed 0\n",
      "PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.07 +- 0.08, perc:[0.   0.04 0.09], max:0.22 seed 1\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief: 9.8304M, 0.3 +- 0.04, perc:[0.28 0.3  0.34], max:0.36 seed 0\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief: 9.8304M, 0.31 +- 0.03, perc:[0.28 0.3  0.34], max:0.36 seed 0\n",
      "PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.23 +- 0.01, perc:[0.22 0.23 0.24], max:0.24 seed 7\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief: 9.8304M, 0.31 +- 0.02, perc:[0.3  0.32 0.33], max:0.34 seed 0\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief: 9.8304M, 0.31 +- 0.03, perc:[0.3  0.31 0.33], max:0.36 seed 1\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief: 9.8304M, 0.29 +- 0.05, perc:[0.3  0.3  0.32], max:0.34 seed 1\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.03 +- 0.08, perc:[0. 0. 0.], max:0.23 seed 1\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.0 +- 0.0, perc:[0. 0. 0.], max:0.0 seed 7\n",
      "PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief: 9.8304M, 0.32 +- 0.03, perc:[0.3  0.32 0.34], max:0.36 seed 0\n",
      "PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite: 8.192M, 0.22 +- 0.02, perc:[0.21 0.22 0.24], max:0.26 seed 5\n",
      "PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief: 7.7824M, 0.33 +- 0.02, perc:[0.31 0.33 0.34], max:0.36 seed 1\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.0 +- 0.0, perc:[0. 0. 0.], max:0.0 seed 7\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief: 9.8304M, 0.3 +- 0.04, perc:[0.3  0.31 0.31], max:0.35 seed 1\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-CoinThief: 9.8304M, 0.31 +- 0.05, perc:[0.28 0.3  0.33], max:0.42 seed 7\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.03 +- 0.01, perc:[0.02 0.03 0.04], max:0.04 seed 7\n",
      "PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.0 +- 0.0, perc:[0. 0. 0.], max:0.0 seed 7\n",
      "PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite: 9.8304M, 0.11 +- 0.11, perc:[0.   0.1  0.21], max:0.23 seed 6\n",
      "PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-CoinThief: 9.8304M, 0.32 +- 0.06, perc:[0.29 0.34 0.36], max:0.4 seed 0\n"
     ]
    },
    {
     "ename": "IndexError",
     "evalue": "list index out of range",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-14-5b162025cafc>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     30\u001b[0m             \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mmin_len\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     31\u001b[0m         \u001b[0;31m#print(data[0:5])\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 32\u001b[0;31m         \u001b[0mlast_ys\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mmin_len\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     33\u001b[0m         \u001b[0mseeds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"config\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"seed\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     34\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mIndexError\u001b[0m: list index out of range"
     ]
    }
   ],
   "source": [
    "# QUICK END PERF STATS, NO CURVES\n",
    "\n",
    "metric = \"test_success_rates\" #\"bin_extrinsic_return_mean\"\n",
    "#ax = [ax]\n",
    "max_y = -np.inf\n",
    "min_y = np.inf\n",
    "max_steps = 0\n",
    "for i,m_id in enumerate(models_saves.keys()):\n",
    "    #excluding some experiments\n",
    "    if 'talk' in m_id:\n",
    "        continue    \n",
    "#     if not 'coin' in m_id:\n",
    "#         continue\n",
    "    #print(m_id)\n",
    "    runs_data = models_saves[m_id]['data']\n",
    "    last_ys = []\n",
    " \n",
    "    # determine minimal run length across seeds\n",
    "    min_len = np.min([len(run['frames']) for run in runs_data])\n",
    "    \n",
    "    #compute env steps (x axis)\n",
    "    steps = np.array(runs_data[0]['frames'], dtype=np.int) / 1000000\n",
    "    steps = steps[:min_len]\n",
    "    \n",
    "    seeds = []\n",
    "    for run in runs_data:  \n",
    "        #print(run.keys())\n",
    "        data = run[metric]\n",
    "        if len(data) > min_len:\n",
    "            data = data[0:min_len]\n",
    "        #print(data[0:5])\n",
    "        last_ys.append(data[min_len-1])\n",
    "        seeds.append(run[\"config\"][\"seed\"])\n",
    "\n",
    "    # computes stats\n",
    "    percentiles = np.percentile(last_ys,[25,50,75])\n",
    "    max_index = np.argmax(last_ys)\n",
    "    max_perf = last_ys[max_index]\n",
    "    max_perf_seed = seeds[max_index]\n",
    "    label = preprocess_label(m_id)\n",
    "\n",
    "    print(\"{}: {}M, {} +- {}, perc:{}, max:{} seed {}\".format(label,\n",
    "                                                           np.round(steps[-1],6),\n",
    "                                                           np.round(np.mean(last_ys),2),\n",
    "                                                           np.round(np.std(last_ys),2),\n",
    "                                                           np.round(percentiles,2),\n",
    "                                                           np.round(max_perf,2),\n",
    "                                                           max_perf_seed))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "odict_keys(['22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_env_MiniGrid-CoinThief-8x8-v0', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0', '22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0', 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'22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_env_MiniGrid-TalkItOutPolite-8x8-v0', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_env_MiniGrid-TalkItOutPolite-8x8-v0', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.01_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0', '22-09_PPO_RND_tuning_optim-eps_1e-05_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_env_MiniGrid-TalkItOutPolite-8x8-v0'])\n",
      "['']\n",
      "find cond with  in it\n",
      "22-09_PPO_RND_tuning_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_env_MiniGrid-CoinThief-8x8-v0\n"
     ]
    },
    {
     "ename": "KeyError",
     "evalue": "'epochs_score'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-15-f4d3be2ccfe7>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     32\u001b[0m                 \u001b[0mys\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     33\u001b[0m                 \u001b[0;32mfor\u001b[0m \u001b[0mrun\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mruns_data\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 34\u001b[0;31m                     \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrun\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'epochs_score'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     35\u001b[0m                     \u001b[0mepisodes\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'epochs_episode_nb'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     36\u001b[0m                     \u001b[0mys\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyError\u001b[0m: 'epochs_score'"
     ]
    }
   ],
   "source": [
    "# OVERALL EXPERIMENT CSV TABLE GENERATOR (USE https://www.tablesgenerator.com/ to turn into latex)\n",
    "import csv\n",
    "\n",
    "baseline = '22-06_final_toy_env_teacher_ALP-GMM'\n",
    "RESULTS = [['Condition','Dance','CoinThief']]\n",
    "# add 1 list per line, 1 tuple per col. (col. name, list of strings matching a run's name)\n",
    "line_data = [('PPO',[[''],\n",
    "                     ['coinThief_env_args_hidden_npc_False_few_actions_True']]),\n",
    "             ('PPO+Explo',[['dance_len_3_exploration-bonus-params_4_50'],['_R_re'],['_R_gt']]),\n",
    "             ('Random',[['Random'],'N/A','N/A'])]\n",
    "#              ('IN-R',['CEGT_expert_type_R_pt']),\n",
    "#              ()]\n",
    "agent_types = ['t']\n",
    "plt.ion()\n",
    "print(labels.keys())\n",
    "for line_d in line_data:\n",
    "    result_line = [line_d[0]]\n",
    "    # find conditions\n",
    "    for cond_marker in line_d[1]:\n",
    "        print(cond_marker)\n",
    "        marker = cond_marker[0]\n",
    "        print('find cond with {} in it'.format(marker))\n",
    "        nb_found = 0\n",
    "        for i,(m_id,label) in enumerate(labels.items()):\n",
    "            if marker in m_id:\n",
    "                print(m_id)\n",
    "                nb_found += 1\n",
    "                if nb_found > 1:\n",
    "                    print('ERROR')\n",
    "                # compute stats for condition\n",
    "                runs_data = models_saves[m_id]['data']\n",
    "                ys = []\n",
    "                for run in runs_data:\n",
    "                    data = run['epochs_score']\n",
    "                    episodes = np.array(run['epochs_episode_nb'])\n",
    "                    ys.append(data)\n",
    "                assert len(ys) == 48\n",
    "\n",
    "                mean_std = '{} +- {}'.format(np.round(np.mean(ys,axis=0)[-1],1),\n",
    "                                                    np.round(np.std(ys,axis=0)[-1],1))\n",
    "                # welch test w.r.t. to ALP-GMM\n",
    "                welch_test = get_welch(algo_0=m_id, algo_1=baseline, verbose=True)\n",
    "                if welch_test.statistic > 0:\n",
    "                    if welch_test.pvalue < 0.01:\n",
    "                        mean_std = mean_std + '(*)'\n",
    "                \n",
    "                result_line.append(mean_std)\n",
    "    RESULTS.append(result_line)\n",
    "print(RESULTS)\n",
    "with open('output.csv','w') as result_file:\n",
    "    wr = csv.writer(result_file, dialect='excel')\n",
    "    wr.writerows(RESULTS)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python 3.6.12 |Anaconda, Inc.| (default, Sep  8 2020, 23:10:56) \n",
      "Type 'copyright', 'credits' or 'license' for more information\n",
      "IPython 7.16.1 -- An enhanced Interactive Python. Type '?' for help.\n",
      "\n",
      "In [1]: \n",
      "\n",
      "In [1]: e\n",
      "---------------------------------------------------------------------------\n",
      "NameError                                 Traceback (most recent call last)\n",
      "<ipython-input-1-094e3afb2fe8> in <module>\n",
      "----> 1 e\n",
      "\n",
      "NameError: name 'e' is not defined\n",
      "\n",
      "In [2]: exit\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from IPython import embed; embed()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python 3.6.12 |Anaconda, Inc.| (default, Sep  8 2020, 23:10:56) \n",
      "Type 'copyright', 'credits' or 'license' for more information\n",
      "IPython 7.16.1 -- An enhanced Interactive Python. Type '?' for help.\n",
      "\n",
      "In [1]: exit()\n",
      "\n",
      "\n",
      " Top 10  Coin Env perfs \n",
      "\n",
      "ing_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_ : [0.362, 0.054]\n",
      "ing_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_ : [0.357, 0.231]\n",
      "ing_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_ : [0.354, 0.075]\n",
      "ing_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_ : [0.352, 0.226]\n",
      "ing_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_ : [0.352, 0.074]\n",
      "ing_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1_ : [0.351, 0.001]\n",
      "ing_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_40_ : [0.35, 0.107]\n",
      "ing_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1_ : [0.35, 0.0]\n",
      "ing_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_ : [0.343, 0.002]\n",
      "ing_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_ : [0.342, 0.214]\n",
      "ing_optim-eps_1e-07_entropy-coef_0.0001_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_ : [0.34, 0.12]\n",
      "\n",
      " Top 10 Talk Env perfs \n",
      "\n",
      "ing_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_ : [0.315, 0.239]\n",
      "ing_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_ : [0.324, 0.239]\n",
      "ing_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_ : [0.329, 0.238]\n",
      "ing_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_1000_ : [0.3, 0.238]\n",
      "ing_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_ : [0.299, 0.234]\n",
      "ing_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_ : [0.34, 0.234]\n",
      "ing_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_ : [0.319, 0.234]\n",
      "ing_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_ : [0.316, 0.231]\n",
      "ing_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_ : [0.336, 0.231]\n",
      "ing_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_ : [0.332, 0.231]\n",
      "ing_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_ : [0.357, 0.231]\n",
      "\n",
      " Top 10 Coin+Talk perfs (mean) \n",
      "\n",
      "ing_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_ : [0.357, 0.231]\n",
      "ing_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_ : [0.352, 0.226]\n",
      "ing_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_ : [0.34, 0.234]\n",
      "ing_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1000_ : [0.34, 0.228]\n",
      "ing_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_ : [0.336, 0.231]\n",
      "ing_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_ : [0.329, 0.238]\n",
      "ing_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.001_intrinsic-reward-max-grad-norm_40_ : [0.339, 0.224]\n",
      "ing_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_1_ : [0.332, 0.231]\n",
      "ing_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_20_ : [0.324, 0.239]\n",
      "ing_optim-eps_1e-07_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.0004_intrinsic-reward-epsilon_0.01_intrinsic-reward-max-grad-norm_1000_ : [0.342, 0.214]\n",
      "ing_optim-eps_1e-05_entropy-coef_0.0005_intrinsic-reward-learning-rate_0.001_intrinsic-reward-epsilon_0.0001_intrinsic-reward-max-grad-norm_40_ : [0.315, 0.239]\n",
      "160\n"
     ]
    }
   ],
   "source": [
    "# PPO HYPERPARAMETER TUNING visualization and analysis tools\n",
    "\n",
    "# get hyperparameter configuration id from an experiment id\n",
    "def m_id_to_hp_id(m_id):\n",
    "    hp_id = m_id[17:]\n",
    "    \n",
    "    # hp_id is environment agnostic\n",
    "    hp_id = hp_id.replace('env_MiniGrid-TalkItOutPolite-8x8-v0','')\n",
    "    hp_id = hp_id.replace('env_MiniGrid-CoinThief-8x8-v0','')\n",
    "    hp_id = hp_id.replace('frames-per-proc','frames/proc')\n",
    "    return hp_id\n",
    "    \n",
    "\n",
    "# Get top N configurations\n",
    "N = 3\n",
    "metric = \"test_success_rates\" #\"bin_extrinsic_return_mean\"\n",
    "# (CoinThief perfs, TalkItOut perfs)\n",
    "coin_env_idx = 0\n",
    "talk_env_idx = 1\n",
    "performance_dict = {m_id_to_hp_id(m_id):[None,None] for m_id in models_saves.keys()}\n",
    "\n",
    "#ax = [ax]\n",
    "max_y = -np.inf\n",
    "min_y = np.inf\n",
    "max_steps = 0\n",
    "for i,m_id in enumerate(models_saves.keys()):\n",
    "    \n",
    "    if \"Coin\" in m_id:\n",
    "        idx = coin_env_idx\n",
    "    elif \"Talk\" in m_id:\n",
    "        idx = talk_env_idx\n",
    "    else:\n",
    "        print(\"Unknown hyperparam env: {}\".format(m_id))\n",
    "        break\n",
    "    \n",
    "    # collect end performance for each seed\n",
    "    runs_data = models_saves[m_id]['data']\n",
    "    last_ys = []\n",
    "#     from IPython import embed; embed()\n",
    "    \n",
    "    for run in runs_data: \n",
    "        data = run[metric]\n",
    "        #print(len(data))\n",
    "        if data is None: continue\n",
    "        #assert (len(data) == 312) or (len(data) == 156) or (len(data) == 78),\\\n",
    "        #print(\"unknown data length: {}\".format(len(data)))\n",
    "        last_ys.append(data[-1])\n",
    "    \n",
    "    # average end performance and store it\n",
    "    performance_dict[m_id_to_hp_id(m_id)][idx] = np.round(np.mean(last_ys),3)\n",
    "\n",
    "\n",
    "\n",
    "# filter Nones\n",
    "performance_dict = {k:v for k, v in performance_dict.items() if v[1] is not None and v[0] is not None}\n",
    "\n",
    "#sort_fn = lambda kv: kv[1][talk_env_idx]\n",
    "sort_fns = [lambda kv: kv[1][coin_env_idx],\n",
    "            lambda kv: kv[1][talk_env_idx],\n",
    "            lambda kv: np.mean(kv[1])]\n",
    "N = [10,10,10]\n",
    "sort_name = [' Coin Env perfs', 'Talk Env perfs', 'Coin+Talk perfs (mean)']\n",
    "for sort_fn, n, name in zip(sort_fns, N, sort_name):\n",
    "    print(\"\\n Top {} {} \\n\".format(n,name))\n",
    "\n",
    "    # sort by perf\n",
    "    talk_sorted_perf = sorted(performance_dict.items(), key= sort_fn)\n",
    "    talk_sorted_perf.reverse()\n",
    "\n",
    "    # print top n\n",
    "    talk_sorted_perf = OrderedDict(talk_sorted_perf)\n",
    "    \n",
    "    for i, (key, value) in enumerate(talk_sorted_perf.items()):\n",
    "        if i > n:\n",
    "            break\n",
    "        print(key,':',value)\n",
    "\n",
    "print(len(performance_dict.keys()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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