1.1m steps trained

'LunarLander-ppo-500k.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:59d892c004f445cca00f89c95b90be667e35324c809881ca829d6ec72a67d70f
-size 144222
+oid sha256:416a56554f818587ff243ae6a15056d4aa498818b1f5943351fe50e2d9c5cb4b
+size 144122

'LunarLander-ppo-500k/data

@@ -47,7 +47,7 @@
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1657002407.1366575,
+    "start_time": 1657006347.9007418,
     "learning_rate": 0.0003,
     "tensorboard_log": null,
     "lr_schedule": {
@@ -56,7 +56,7 @@
     },
     "_last_obs": {
         ":type:": "<class 'numpy.ndarray'>",
-        ":serialized:": "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"
+        ":serialized:": "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"
     },
     "_last_episode_starts": {
         ":type:": "<class 'numpy.ndarray'>",
@@ -69,13 +69,13 @@
     "_current_progress_remaining": -0.04857599999999995,
     "ep_info_buffer": {
         ":type:": "<class 'collections.deque'>",
-        ":serialized:": "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"
+        ":serialized:": "gASVMRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMII/PIH8xdcUCUhpRSlIwBbJRL2YwBdJRHQIZyQh2W6bx1fZQoaAZoCWgPQwjsT+Jzp31vQJSGlFKUaBVL62gWR0CGdRoQFs55dX2UKGgGaAloD0MIaa1oc5yBcECUhpRSlGgVS/FoFkdAhncyksSTQnV9lChoBmgJaA9DCOkMjLxsZHFAlIaUUpRoFUvfaBZHQIZ3aXpnpSt1fZQoaAZoCWgPQwhIbk26bZZwQJSGlFKUaBVLymgWR0CGeWVLSNOudX2UKGgGaAloD0MISKeufNbIcECUhpRSlGgVS+1oFkdAhnq5ha1Ti3V9lChoBmgJaA9DCGrecYpOoXBAlIaUUpRoFUvLaBZHQIZ7KYG+sYF1fZQoaAZoCWgPQwj4bB0c7L5yQJSGlFKUaBVL+WgWR0CGfBMOf/WEdX2UKGgGaAloD0MIfhghPJrucECUhpRSlGgVS/loFkdAhn9vNeMQ3HV9lChoBmgJaA9DCExxVdl3721AlIaUUpRoFUvQaBZHQIZ//e1rqMZ1fZQoaAZoCWgPQwjcLckBewVxQJSGlFKUaBVL8GgWR0CGgC/8l5WzdX2UKGgGaAloD0MIfXiWIKNxbUCUhpRSlGgVS9NoFkdAhoBVhsqJ/HV9lChoBmgJaA9DCPJAZJEmmm9AlIaUUpRoFUvVaBZHQIaDWb/ffoB1fZQoaAZoCWgPQwibdjHNdGtxQJSGlFKUaBVLumgWR0CGhc91U2k0dX2UKGgGaAloD0MIpx/URcqTcECUhpRSlGgVS+poFkdAhocy0rsjV3V9lChoBmgJaA9DCDykGCDRAm9AlIaUUpRoFU0AAWgWR0CGiIJ0nw5OdX2UKGgGaAloD0MIZOlDF1QrbUCUhpRSlGgVS9toFkdAhonhNM495nV9lChoBmgJaA9DCOpb5nSZdnFAlIaUUpRoFUvtaBZHQIaKtLDhtLt1fZQoaAZoCWgPQwiWPnRBfVlyQJSGlFKUaBVL22gWR0CGitbPhQ3xdX2UKGgGaAloD0MIFRkdkAT/ZECUhpRSlGgVTegDaBZHQIaMBm5Dqnp1fZQoaAZoCWgPQwgk8l1KXWFzQJSGlFKUaBVLymgWR0CGjQ6Mir1edX2UKGgGaAloD0MIOurouBrDbECUhpRSlGgVS8toFkdAho3Mzl90BHV9lChoBmgJaA9DCHNoke08OXJAlIaUUpRoFUvLaBZHQIaN81dgOSZ1fZQoaAZoCWgPQwiuK2aEt0pgQJSGlFKUaBVN6ANoFkdAho+O0TlDGHV9lChoBmgJaA9DCB2taklHmG1AlIaUUpRoFUvMaBZHQIaQvgHeJpF1fZQoaAZoCWgPQwhK8IY0KqNvQJSGlFKUaBVLyWgWR0CGkrfVqesgdX2UKGgGaAloD0MIx7ji4qhBYECUhpRSlGgVTegDaBZHQIaUUbNr0rd1fZQoaAZoCWgPQwhDjq1niOpwQJSGlFKUaBVL9mgWR0CGlnq6e5FxdX2UKGgGaAloD0MInfaUnJPHckCUhpRSlGgVS+1oFkdAhpkoBRyfc3V9lChoBmgJaA9DCO317o936nBAlIaUUpRoFU0bAWgWR0CGmf8iOeasdX2UKGgGaAloD0MItRg8TPsyckCUhpRSlGgVS9toFkdAhppFjurp7nV9lChoBmgJaA9DCL0ZNV+lZnJAlIaUUpRoFU0AAWgWR0CGm4HWz4UOdX2UKGgGaAloD0MI6IL6ljlDcECUhpRSlGgVS+toFkdAhpvn58BuGnV9lChoBmgJaA9DCHO+2HtxonFAlIaUUpRoFU1YAWgWR0CGn4A9V3lkdX2UKGgGaAloD0MIeTvCaUGBZUCUhpRSlGgVTegDaBZHQIagiDZlFtt1fZQoaAZoCWgPQwgG8uzyLSNtQJSGlFKUaBVL3WgWR0CGobE4NqgzdX2UKGgGaAloD0MIUmFsIYjMcUCUhpRSlGgVS71oFkdAhqIUkOZssXV9lChoBmgJaA9DCHJTA81nImNAlIaUUpRoFU3oA2gWR0CGoycRUWEcdX2UKGgGaAloD0MIKuW1EnoxcUCUhpRSlGgVS81oFkdAhqV+LvTgEXV9lChoBmgJaA9DCL+CNGORc3NAlIaUUpRoFUvOaBZHQIamimTC+Dh1fZQoaAZoCWgPQwiD3bBt0Q1wQJSGlFKUaBVL12gWR0CGptJjlPrOdX2UKGgGaAloD0MIsi/ZeLB1cUCUhpRSlGgVS+VoFkdAhqklijL0SXV9lChoBmgJaA9DCElm9Q73mXBAlIaUUpRoFUvkaBZHQIapjQC0WuZ1fZQoaAZoCWgPQwhHWFTEqfdwQJSGlFKUaBVLuWgWR0CGqorGR3eOdX2UKGgGaAloD0MIeCrgnifscECUhpRSlGgVS8xoFkdAhqyxy4nWrnV9lChoBmgJaA9DCOVC5V8L7HBAlIaUUpRoFUvfaBZHQIavAre67NB1fZQoaAZoCWgPQwhDjNe86ntwQJSGlFKUaBVL3mgWR0CGr1gfEGaAdX2UKGgGaAloD0MIniYz3hZNcUCUhpRSlGgVS8FoFkdAhrFGEPDpDHV9lChoBmgJaA9DCHPWpxyTnHBAlIaUUpRoFUvfaBZHQIa0+kN4JNV1fZQoaAZoCWgPQwgo7niTH/JwQJSGlFKUaBVLzWgWR0CGtnj1f3N+dX2UKGgGaAloD0MI598u+7V4cUCUhpRSlGgVTQoBaBZHQIa3uv6j3251fZQoaAZoCWgPQwgoDwu1Zp5wQJSGlFKUaBVL5mgWR0CGufkYoAn2dX2UKGgGaAloD0MIf2399F9bcUCUhpRSlGgVS/NoFkdAhr2SLQ5WBHV9lChoBmgJaA9DCLw/3qtW6nBAlIaUUpRoFUvfaBZHQIa/NQCSzPd1fZQoaAZoCWgPQwixogbTMNJjQJSGlFKUaBVN6ANoFkdAhsAtsvZh8nV9lChoBmgJaA9DCPVLxFsnv3BAlIaUUpRoFUvXaBZHQIbA0LWqcVh1fZQoaAZoCWgPQwi4IFuWr0pxQJSGlFKUaBVL/mgWR0CGwRtShrWRdX2UKGgGaAloD0MIOne7XpolcUCUhpRSlGgVS81oFkdAhsO3eN1hcHV9lChoBmgJaA9DCCMVxhaCIHFAlIaUUpRoFUu9aBZHQIbEELKFIup1fZQoaAZoCWgPQwhxxjAnaPlwQJSGlFKUaBVL3mgWR0CGx5cynDR/dX2UKGgGaAloD0MI/B2KAn20Y0CUhpRSlGgVTegDaBZHQIbKne+Eh7p1fZQoaAZoCWgPQwjsh9hg4cZIQJSGlFKUaBVLtGgWR0CGyp9P1tfpdX2UKGgGaAloD0MIWriswmYycUCUhpRSlGgVS+1oFkdAhstKDkELY3V9lChoBmgJaA9DCBcQWg/f1W5AlIaUUpRoFUvOaBZHQIbO9+d9Ujt1fZQoaAZoCWgPQwgJNxlVBhdkQJSGlFKUaBVN6ANoFkdAhs8fFR51NnV9lChoBmgJaA9DCDVgkPSp73BAlIaUUpRoFUvVaBZHQIbQHfdhy811fZQoaAZoCWgPQwhy+Q/pN41kQJSGlFKUaBVN6ANoFkdAhtEMtbs4UHV9lChoBmgJaA9DCEp+xK9YZHFAlIaUUpRoFU0IAWgWR0CG0iAd4mkWdX2UKGgGaAloD0MIizTxDjAecUCUhpRSlGgVS8NoFkdAhtI2dVea8nV9lChoBmgJaA9DCMi3dw162GRAlIaUUpRoFU3oA2gWR0CG0msySFGodX2UKGgGaAloD0MIj1AzpAplYUCUhpRSlGgVTegDaBZHQIbUTiKiwjd1fZQoaAZoCWgPQwhdbcX+MqptQJSGlFKUaBVL+GgWR0CG1PivPkaNdX2UKGgGaAloD0MItkyG43lpbUCUhpRSlGgVS8loFkdAhtVuu7pV0nV9lChoBmgJaA9DCNbHQ9/dAXBAlIaUUpRoFUvOaBZHQIbXyr3j+711fZQoaAZoCWgPQwjNc0S+Cw1yQJSGlFKUaBVLwWgWR0CG2sp8WsRydX2UKGgGaAloD0MIpZ9wduuvcUCUhpRSlGgVS8RoFkdAhtsdy1eBx3V9lChoBmgJaA9DCJYFE3+Ut3JAlIaUUpRoFU0dAWgWR0CG3T2ECeVcdX2UKGgGaAloD0MIKXef4+OUcECUhpRSlGgVS7xoFkdAht1SeRPoFHV9lChoBmgJaA9DCP5hS4/m0nBAlIaUUpRoFUvWaBZHQIbd6Tnq3Vl1fZQoaAZoCWgPQwjQRxlxgbtyQJSGlFKUaBVL0GgWR0CG3pcgyM1kdX2UKGgGaAloD0MId9hEZi4Pc0CUhpRSlGgVS/hoFkdAht80AcT8HnV9lChoBmgJaA9DCDKwjuMHIXBAlIaUUpRoFUveaBZHQIbfpItlI3B1fZQoaAZoCWgPQwjOABdkCxRxQJSGlFKUaBVLvGgWR0CG4DoRIz3zdX2UKGgGaAloD0MIym37HrU4cUCUhpRSlGgVS+poFkdAhuIjJlrdnHV9lChoBmgJaA9DCIF4Xb9gYW9AlIaUUpRoFUveaBZHQIbipnOB19x1fZQoaAZoCWgPQwiSrS6nBKVkQJSGlFKUaBVN6ANoFkdAhuRVIiC8OHV9lChoBmgJaA9DCIUmiSWlQXFAlIaUUpRoFUvuaBZHQIbl65qdpZh1fZQoaAZoCWgPQwhkP4ulCANwQJSGlFKUaBVLv2gWR0CG5f1e0G/vdX2UKGgGaAloD0MIlX1XBP+jckCUhpRSlGgVS8BoFkdAhuhU/4ZdfXV9lChoBmgJaA9DCBxcOuZ8LXFAlIaUUpRoFUvraBZHQIboyfjCHh11fZQoaAZoCWgPQwithVloZ2FwQJSGlFKUaBVLw2gWR0CG6bCRfWtmdX2UKGgGaAloD0MI9fbnomGNcECUhpRSlGgVS9loFkdAhumyF49ovnV9lChoBmgJaA9DCASvljszy2RAlIaUUpRoFU3oA2gWR0CG6m3/giu/dX2UKGgGaAloD0MIzJvDtdqDckCUhpRSlGgVS/9oFkdAhuxZha1Ti3V9lChoBmgJaA9DCDhKXp3jg29AlIaUUpRoFUvwaBZHQIbtJj4Hoox1fZQoaAZoCWgPQwjEsMOY9PhtQJSGlFKUaBVLy2gWR0CG7ZlwLmZFdX2UKGgGaAloD0MImNu93CeJbkCUhpRSlGgVS/1oFkdAhu5wrc0tRXV9lChoBmgJaA9DCKBSJcpeXHFAlIaUUpRoFUvgaBZHQIbvIMx46fd1fZQoaAZoCWgPQwjRr62ffqJwQJSGlFKUaBVLxmgWR0CG70vvBrN4dX2UKGgGaAloD0MIfjuJCL+0cECUhpRSlGgVS89oFkdAhvFVWsA/93VlLg=="
     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
         ":serialized:": "gASVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
     },
-    "_n_updates": 160,
+    "_n_updates": 320,
     "n_steps": 2048,
     "gamma": 0.99,
     "gae_lambda": 0.95,

'LunarLander-ppo-500k/policy.optimizer.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:567823a31dfbe8b99c41deb9ec8c7a142c917b82d46be9ed845c9ea0ff096e68
+oid sha256:e87eeba3c9c11c26e902bb6f58da7f6109cae9e92dd2330f5cfdc63a9161d67c
 size 84893

'LunarLander-ppo-500k/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3ea3abbc61e65a909498f10d80568772fb1a1a4cde03890f8d3be177bc07ea93
+oid sha256:2ad30604d66428162671fca3152294be89782bfb47083ef0ce139caa78c08956
 size 43201

.gitattributes

@@ -26,3 +26,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 *.mp4 filter=lfs diff=lfs merge=lfs -text
+LunarLander-ppo-1.1m filter=lfs diff=lfs merge=lfs -text

LunarLander-ppo-1.1m

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:44bac846ef3550e4745167563d5ac01bab4cde7b45460bc7679d257256a4a61b
+size 144122

README.md

@@ -10,7 +10,7 @@ model-index:
   results:
   - metrics:
     - type: mean_reward
-      value: 177.16 +/- 93.23
+      value: 252.49 +/- 42.04
       name: mean_reward
     task:
       type: reinforcement-learning

config.json

@@ -1 +1 @@
-{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gASVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", "__module__": "stable_baselines3.common.policies", "__doc__": "\n    Policy class for actor-critic algorithms (has both policy and value prediction).\n    Used by A2C, PPO and the likes.\n\n    :param observation_space: Observation space\n    :param action_space: Action space\n    :param lr_schedule: Learning rate schedule (could be constant)\n    :param net_arch: The specification of the policy and value networks.\n    :param activation_fn: Activation function\n    :param ortho_init: Whether to use or not orthogonal initialization\n    :param use_sde: Whether to use State Dependent Exploration or not\n    :param log_std_init: Initial value for the log standard deviation\n    :param full_std: Whether to use (n_features x n_actions) parameters\n        for the std instead of only (n_features,) when using gSDE\n    :param sde_net_arch: Network architecture for extracting features\n        when using gSDE. If None, the latent features from the policy will be used.\n        Pass an empty list to use the states as features.\n    :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n        a positive standard deviation (cf paper). It allows to keep variance\n        above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n    :param squash_output: Whether to squash the output using a tanh function,\n        this allows to ensure boundaries when using gSDE.\n    :param features_extractor_class: Features extractor to use.\n    :param features_extractor_kwargs: Keyword arguments\n        to pass to the features extractor.\n    :param normalize_images: Whether to normalize images or not,\n         dividing by 255.0 (True by default)\n    :param optimizer_class: The optimizer to use,\n        ``th.optim.Adam`` by default\n    :param optimizer_kwargs: Additional keyword arguments,\n        excluding the learning rate, to pass to the optimizer\n    ", "__init__": "<function ActorCriticPolicy.__init__ at 0x7f4cb2065a70>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f4cb2065b00>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f4cb2065b90>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f4cb2065c20>", "_build": "<function ActorCriticPolicy._build at 0x7f4cb2065cb0>", "forward": "<function ActorCriticPolicy.forward at 0x7f4cb2065d40>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f4cb2065dd0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f4cb2065e60>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f4cb2065ef0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f4cb2065f80>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f4cb206b050>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f4cb20b39c0>"}, "verbose": 1, "policy_kwargs": {}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "low": "[-inf -inf -inf -inf -inf -inf -inf -inf]", "high": "[inf inf inf inf inf inf inf inf]", "bounded_below": "[False False False False False False False False]", "bounded_above": "[False False False False False False False False]", "_np_random": null, "_shape": [8]}, "action_space": {":type:": "<class 'gym.spaces.discrete.Discrete'>", ":serialized:": "gASViAAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwFZHR5cGWUjAVudW1weZSMBWR0eXBllJOUjAJpOJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRijApfbnBfcmFuZG9tlE6MBl9zaGFwZZQpdWIu", "n": 4, "dtype": "int64", "_np_random": null, "_shape": []}, "n_envs": 16, "num_timesteps": 524288, "_total_timesteps": 500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1657002407.1366575, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gASVjQIAAAAAAACMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMDF9yZWNvbnN0cnVjdJSTlIwFbnVtcHmUjAduZGFycmF5lJOUSwCFlEMBYpSHlFKUKEsBSxBLCIaUaAOMBWR0eXBllJOUjAJmNJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiiUIAAgAARoQgvlyLNbrLFAa3s+2CMae6sLp6exk2AACAPwAAgD+m3X2+HPKlPgP1j7swJGO+ovymOo49CTsAAAAAAAAAAIBzXj5PVwi84JUlu28A1TjDlH29YVBGOgAAgD8AAIA/ZpKqPPYceroUVBS2r0+UsEZPvjpICjk1AACAPwAAgD8A/A68e+KEuvZPbzm8sLI0boPMOj06iLgAAIA/AACAP1osIb6ukos7UoMqPN9cELrHqy+9J2ACOwAAgD8AAIA/DQmmPmEP3bxgFsq3/m8cNtIqEr4PMAU3AACAPwAAgD8z0jq+2+HNvLLoAr68Eam8J+80PurTgj0AAIA/AACAP+YUeD6xmJI/eN4UP05YBr//PFw+po3mPQAAAAAAAAAANniFPlSYkD8d3vM+KkzWvg+hHj4ppAM+AAAAAAAAAAAaVHa9wyVtukHcNDtQAbE2dE0oO/PRTLoAAIA/AACAP/1wjj7uVd68CO0zu6MlrDkF/EO+kJVhOgAAgD8AAIA/1i+Avj26KrmauhS8RVVhPL0+sLt2xxW8AACAPwAAgD998pe+SDyZvEMzp7q/r+u4nbADPkEAxTkAAIA/AACAP03SSL3DgWK6odMhOXcIgDTE5ck6xws3uAAAgD8AAIA/AOCBu4UbsbmqpDU8XRr9uBQv7jtgDPe3AACAPwAAgD+UdJRiLg=="}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gASVmAAAAAAAAACMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMDF9yZWNvbnN0cnVjdJSTlIwFbnVtcHmUjAduZGFycmF5lJOUSwCFlEMBYpSHlFKUKEsBSxCFlGgDjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYolDEAAAAAAAAAAAAAAAAAAAAACUdJRiLg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.04857599999999995, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gASVfBAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMI6e3PRcM8YECUhpRSlIwBbJRN6AOMAXSUR0CN7i8V58jSdX2UKGgGaAloD0MIXyhgOxjIYkCUhpRSlGgVTegDaBZHQI3uTRjSXt11fZQoaAZoCWgPQwhbttYXCaFGwJSGlFKUaBVL22gWR0CN9+lSCOFQdX2UKGgGaAloD0MI14UfnE/1VkCUhpRSlGgVTegDaBZHQI3/kyeqaPV1fZQoaAZoCWgPQwiO5zOg3mFeQJSGlFKUaBVN6ANoFkdAjgEslsxfwHV9lChoBmgJaA9DCC457pQOO15AlIaUUpRoFU3oA2gWR0COEJvw3HaOdX2UKGgGaAloD0MIR1Z+GYzrVkCUhpRSlGgVTegDaBZHQI4VM9yLhrF1fZQoaAZoCWgPQwiIRncQu4xhQJSGlFKUaBVN6ANoFkdAjilUJOWSlnV9lChoBmgJaA9DCAzJycStN11AlIaUUpRoFU3oA2gWR0COKrun/DLsdX2UKGgGaAloD0MI9Ik8SboXW0CUhpRSlGgVTegDaBZHQI44jeO4oZ11fZQoaAZoCWgPQwgktOVciiBfQJSGlFKUaBVN6ANoFkdAjj7eGfwqiHV9lChoBmgJaA9DCAwepn1z0GFAlIaUUpRoFU3oA2gWR0COQgsdT5wgdX2UKGgGaAloD0MI0sYRa/G+XkCUhpRSlGgVTegDaBZHQI5F0AxSHdp1fZQoaAZoCWgPQwjWqfI9I5diQJSGlFKUaBVN6ANoFkdAjkXy6DoQnXV9lChoBmgJaA9DCFDgnXz6lWBAlIaUUpRoFU3oA2gWR0COSSk2P1cudX2UKGgGaAloD0MIYYxIFFpeZECUhpRSlGgVTegDaBZHQI5jmwNb1RN1fZQoaAZoCWgPQwipSltc41pTQJSGlFKUaBVN6ANoFkdAjmP74SHuZ3V9lChoBmgJaA9DCDnQQ20bWl1AlIaUUpRoFU3oA2gWR0COZBbAUL2IdX2UKGgGaAloD0MIaXBbW/h+a0CUhpRSlGgVTTkBaBZHQI5kZ6rvLHN1fZQoaAZoCWgPQwhbsb/snitdQJSGlFKUaBVN6ANoFkdAjmyHYg7o0XV9lChoBmgJaA9DCNzVq8jo5lBAlIaUUpRoFU3oA2gWR0COcsyMUAT7dX2UKGgGaAloD0MIFto5zQItX0CUhpRSlGgVTegDaBZHQI50G5z5oGp1fZQoaAZoCWgPQwghlPdxNCJVQJSGlFKUaBVN6ANoFkdAjoE6VD8cdnV9lChoBmgJaA9DCBL7BFAMEmBAlIaUUpRoFU3oA2gWR0COhThm5DqodX2UKGgGaAloD0MIXB/WG7UrYECUhpRSlGgVTegDaBZHQI6WcIzFdcB1fZQoaAZoCWgPQwgjZ2FPu3ZhQJSGlFKUaBVN6ANoFkdAjpe6TwDvE3V9lChoBmgJaA9DCKfMzTeicUFAlIaUUpRoFUvxaBZHQI6gGEdvKlp1fZQoaAZoCWgPQwjpYz4g0ANhQJSGlFKUaBVN6ANoFkdAjqSc8cMmW3V9lChoBmgJaA9DCH/eVKTC1V5AlIaUUpRoFU3oA2gWR0CPXmyAxzq9dX2UKGgGaAloD0MIFCS2u4cUYUCUhpRSlGgVTegDaBZHQI9lhfQa73B1fZQoaAZoCWgPQwio5JzYQ7BdQJSGlFKUaBVN6ANoFkdAj2Wpy6tknXV9lChoBmgJaA9DCBJPdjOjIVtAlIaUUpRoFU3oA2gWR0CPaRqoIfKZdX2UKGgGaAloD0MIO8JpwQugZUCUhpRSlGgVTSoDaBZHQI9uIA4n4PB1fZQoaAZoCWgPQwhdwqG3+EZxQJSGlFKUaBVN1ANoFkdAj4BpGnXNDHV9lChoBmgJaA9DCP0QGywcHmFAlIaUUpRoFU3oA2gWR0CPgkcf/3nIdX2UKGgGaAloD0MIhJohVRR2XUCUhpRSlGgVTegDaBZHQI+DAIdELIB1fZQoaAZoCWgPQwglICbhQkVeQJSGlFKUaBVN6ANoFkdAj4sl90A93nV9lChoBmgJaA9DCAkaM4n6DGNAlIaUUpRoFU3oA2gWR0CPkZ60IC2ddX2UKGgGaAloD0MIkNyadFvtXECUhpRSlGgVTegDaBZHQI+S8w35vcd1fZQoaAZoCWgPQwhiEi7kkb5nQJSGlFKUaBVNRQJoFkdAj5Vh1LamGnV9lChoBmgJaA9DCL6jxoSYmyXAlIaUUpRoFUvkaBZHQI+YkXSBshx1fZQoaAZoCWgPQwjVB5J3Dr03QJSGlFKUaBVL72gWR0CPmjhlUZNxdX2UKGgGaAloD0MIxhaCHJTMXkCUhpRSlGgVTegDaBZHQI+erfgrH2h1fZQoaAZoCWgPQwiKc9TRcRNdQJSGlFKUaBVN6ANoFkdAj7MkwnH/+HV9lChoBmgJaA9DCPiImBLJNmNAlIaUUpRoFU3oA2gWR0CPtG7K7qY7dX2UKGgGaAloD0MIU1vqIK9sa0CUhpRSlGgVTUADaBZHQI+7e+sYEW91fZQoaAZoCWgPQwhyT1d3rJ9oQJSGlFKUaBVN2wFoFkdAj7u3V9Wp63V9lChoBmgJaA9DCCtqMA3DIl9AlIaUUpRoFU3oA2gWR0CPvLRceKbbdX2UKGgGaAloD0MI/wbt1ccfY0CUhpRSlGgVTegDaBZHQI/G9q+Jxed1fZQoaAZoCWgPQwggXWxaKfRbQJSGlFKUaBVN6ANoFkdAj84Y2jwhGHV9lChoBmgJaA9DCPOPvknTmEJAlIaUUpRoFU3oA2gWR0CP0geHSF4+dX2UKGgGaAloD0MI7Nrebkk0WkCUhpRSlGgVTegDaBZHQI/Xo150KZ51fZQoaAZoCWgPQwi2MXbCSydfQJSGlFKUaBVN6ANoFkdAj+1t7a7EpHV9lChoBmgJaA9DCDBLOzWXJ2JAlIaUUpRoFU3oA2gWR0CQAuoAn2IwdX2UKGgGaAloD0MIHqm+84uaYkCUhpRSlGgVTegDaBZHQJAD1AC4jKR1fZQoaAZoCWgPQwhMx5xn7LlYQJSGlFKUaBVN6ANoFkdAkAWvDDTBqXV9lChoBmgJaA9DCIwv2uMFBGFAlIaUUpRoFU3oA2gWR0CQCByFfzBidX2UKGgGaAloD0MI+3lTkQpxYkCUhpRSlGgVTewCaBZHQJAIt5IH1OF1fZQoaAZoCWgPQwgqUmFsIRpaQJSGlFKUaBVN6ANoFkdAkAlMunMt9XV9lChoBmgJaA9DCNYCe0ykbl5AlIaUUpRoFU3oA2gWR0CQDCASFoL5dX2UKGgGaAloD0MI8pTVdD0icUCUhpRSlGgVTXoDaBZHQJAWaEGqxTt1fZQoaAZoCWgPQwi1xTU+k1taQJSGlFKUaBVN6ANoFkdAkBjUxqO94HV9lChoBmgJaA9DCEWfjzLixGFAlIaUUpRoFU3oA2gWR0CQHPaUiY9gdX2UKGgGaAloD0MIrMq+KwJvYUCUhpRSlGgVTegDaBZHQJAdGZPVNHp1fZQoaAZoCWgPQwhZh6OrdGBiQJSGlFKUaBVN6ANoFkdAkIGYR7JGOXV9lChoBmgJaA9DCFqfckwWR1JAlIaUUpRoFU3oA2gWR0CQhYmjCYTkdX2UKGgGaAloD0MIK4TVWMLAWUCUhpRSlGgVTegDaBZHQJCHmVRk3CN1fZQoaAZoCWgPQwi3RC44A6FhQJSGlFKUaBVN6ANoFkdAkIpv3ai9I3V9lChoBmgJaA9DCIeowp/hC2JAlIaUUpRoFU3oA2gWR0CQlA8KG+K1dX2UKGgGaAloD0MIVAJiEq5cbECUhpRSlGgVTQ4DaBZHQJCVkP3BYV91fZQoaAZoCWgPQwj11VWBWjVeQJSGlFKUaBVN6ANoFkdAkJ37LMcIaHV9lChoBmgJaA9DCLyTT49tOWBAlIaUUpRoFU3oA2gWR0CQnrGmUGFBdX2UKGgGaAloD0MIwha7fVYrYUCUhpRSlGgVTegDaBZHQJCgG2LHdXV1fZQoaAZoCWgPQwgVN24xv35gQJSGlFKUaBVN6ANoFkdAkKJ0RzzVc3V9lChoBmgJaA9DCNP2r6w0NVlAlIaUUpRoFU3oA2gWR0CQouRUm2LHdX2UKGgGaAloD0MICmZMwZp7YUCUhpRSlGgVTegDaBZHQJClQbdadMF1fZQoaAZoCWgPQwgJ/OHnP6dvQJSGlFKUaBVNjgNoFkdAkKrv73wkPnV9lChoBmgJaA9DCM+EJoklu1xAlIaUUpRoFU3oA2gWR0CQrhsyBTXKdX2UKGgGaAloD0MIo+iBj0GEakCUhpRSlGgVTbgDaBZHQJCxBk5IYm91fZQoaAZoCWgPQwgst7QakoJhQJSGlFKUaBVN6ANoFkdAkLOUw35vcnV9lChoBmgJaA9DCBL3WPpQc2RAlIaUUpRoFU3oA2gWR0CQuX1qWToudX2UKGgGaAloD0MIX5Z2aq7Mb0CUhpRSlGgVTRQCaBZHQJC9Dc9GI9F1fZQoaAZoCWgPQwiOeR1xSHlhQJSGlFKUaBVN6ANoFkdAkL1CB9TgmHV9lChoBmgJaA9DCGtgqwSL029AlIaUUpRoFU1RAWgWR0CQviYVqN6xdX2UKGgGaAloD0MIZt0/FqItY0CUhpRSlGgVTegDaBZHQJC+598Z1mt1fZQoaAZoCWgPQwire2Rz1UJfQJSGlFKUaBVN6ANoFkdAkMEjot+TeXV9lChoBmgJaA9DCHe8yW9RX21AlIaUUpRoFU0NA2gWR0CQxzfP5YYBdX2UKGgGaAloD0MIDFwea8ZVYUCUhpRSlGgVTegDaBZHQJDJGt+1Bt11fZQoaAZoCWgPQwh2+kFdpKViQJSGlFKUaBVN6ANoFkdAkMpyJsO5KHV9lChoBmgJaA9DCIBjz55LLW9AlIaUUpRoFU1PAmgWR0CQz1tY0VJudX2UKGgGaAloD0MIdlCJ6xiPYECUhpRSlGgVTegDaBZHQJDR/WI42jx1fZQoaAZoCWgPQwgpdjQO9dlWQJSGlFKUaBVN6ANoFkdAkNaqZ6Uqx3V9lChoBmgJaA9DCMOgTKPJCllAlIaUUpRoFU3oA2gWR0CQ1yr8R+SbdX2UKGgGaAloD0MIGmt/Z3swYUCUhpRSlGgVTegDaBZHQJDZ39zfaYh1fZQoaAZoCWgPQwind/F+3MlsQJSGlFKUaBVNLQJoFkdAkNphGx2SuHV9lChoBmgJaA9DCG5MT1jis0RAlIaUUpRoFUupaBZHQJDgR+w1R+B1fZQoaAZoCWgPQwgFiljEMNVjQJSGlFKUaBVN6ANoFkdAkOO29+PRzHV9lChoBmgJaA9DCM/AyMuab15AlIaUUpRoFU3oA2gWR0CQ6eqoZQ54dX2UKGgGaAloD0MILLgf8EBbZUCUhpRSlGgVTegDaBZHQJDv8F1SwW51fZQoaAZoCWgPQwisGoS53TlrQJSGlFKUaBVNjQNoFkdAkPBN/SYw7HVlLg=="}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gASVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 160, "n_steps": 2048, "gamma": 0.99, "gae_lambda": 0.95, "ent_coef": 0.0, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 10, "clip_range": {":type:": "<class 'function'>", ":serialized:": "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"}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "system_info": {"OS": "Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022", "Python": "3.7.13", "Stable-Baselines3": "1.5.0", "PyTorch": "1.11.0+cu113", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}
+{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gASVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", "__module__": "stable_baselines3.common.policies", "__doc__": "\n    Policy class for actor-critic algorithms (has both policy and value prediction).\n    Used by A2C, PPO and the likes.\n\n    :param observation_space: Observation space\n    :param action_space: Action space\n    :param lr_schedule: Learning rate schedule (could be constant)\n    :param net_arch: The specification of the policy and value networks.\n    :param activation_fn: Activation function\n    :param ortho_init: Whether to use or not orthogonal initialization\n    :param use_sde: Whether to use State Dependent Exploration or not\n    :param log_std_init: Initial value for the log standard deviation\n    :param full_std: Whether to use (n_features x n_actions) parameters\n        for the std instead of only (n_features,) when using gSDE\n    :param sde_net_arch: Network architecture for extracting features\n        when using gSDE. If None, the latent features from the policy will be used.\n        Pass an empty list to use the states as features.\n    :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n        a positive standard deviation (cf paper). It allows to keep variance\n        above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n    :param squash_output: Whether to squash the output using a tanh function,\n        this allows to ensure boundaries when using gSDE.\n    :param features_extractor_class: Features extractor to use.\n    :param features_extractor_kwargs: Keyword arguments\n        to pass to the features extractor.\n    :param normalize_images: Whether to normalize images or not,\n         dividing by 255.0 (True by default)\n    :param optimizer_class: The optimizer to use,\n        ``th.optim.Adam`` by default\n    :param optimizer_kwargs: Additional keyword arguments,\n        excluding the learning rate, to pass to the optimizer\n    ", "__init__": "<function ActorCriticPolicy.__init__ at 0x7f4cb2065a70>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f4cb2065b00>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f4cb2065b90>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f4cb2065c20>", "_build": "<function ActorCriticPolicy._build at 0x7f4cb2065cb0>", "forward": "<function ActorCriticPolicy.forward at 0x7f4cb2065d40>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f4cb2065dd0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f4cb2065e60>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f4cb2065ef0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f4cb2065f80>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f4cb206b050>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f4cb20b39c0>"}, "verbose": 1, "policy_kwargs": {}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "low": "[-inf -inf -inf -inf -inf -inf -inf -inf]", "high": "[inf inf inf inf inf inf inf inf]", "bounded_below": "[False False False False False False False False]", "bounded_above": "[False False False False False False False False]", "_np_random": null, "_shape": [8]}, "action_space": {":type:": "<class 'gym.spaces.discrete.Discrete'>", ":serialized:": "gASViAAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwFZHR5cGWUjAVudW1weZSMBWR0eXBllJOUjAJpOJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRijApfbnBfcmFuZG9tlE6MBl9zaGFwZZQpdWIu", "n": 4, "dtype": "int64", "_np_random": null, "_shape": []}, "n_envs": 16, "num_timesteps": 524288, "_total_timesteps": 500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1657006347.9007418, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gASVmAAAAAAAAACMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMDF9yZWNvbnN0cnVjdJSTlIwFbnVtcHmUjAduZGFycmF5lJOUSwCFlEMBYpSHlFKUKEsBSxCFlGgDjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYolDEAAAAAAAAAAAAAAAAAAAAACUdJRiLg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.04857599999999995, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gASVMRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMII/PIH8xdcUCUhpRSlIwBbJRL2YwBdJRHQIZyQh2W6bx1fZQoaAZoCWgPQwjsT+Jzp31vQJSGlFKUaBVL62gWR0CGdRoQFs55dX2UKGgGaAloD0MIaa1oc5yBcECUhpRSlGgVS/FoFkdAhncyksSTQnV9lChoBmgJaA9DCOkMjLxsZHFAlIaUUpRoFUvfaBZHQIZ3aXpnpSt1fZQoaAZoCWgPQwhIbk26bZZwQJSGlFKUaBVLymgWR0CGeWVLSNOudX2UKGgGaAloD0MISKeufNbIcECUhpRSlGgVS+1oFkdAhnq5ha1Ti3V9lChoBmgJaA9DCGrecYpOoXBAlIaUUpRoFUvLaBZHQIZ7KYG+sYF1fZQoaAZoCWgPQwj4bB0c7L5yQJSGlFKUaBVL+WgWR0CGfBMOf/WEdX2UKGgGaAloD0MIfhghPJrucECUhpRSlGgVS/loFkdAhn9vNeMQ3HV9lChoBmgJaA9DCExxVdl3721AlIaUUpRoFUvQaBZHQIZ//e1rqMZ1fZQoaAZoCWgPQwjcLckBewVxQJSGlFKUaBVL8GgWR0CGgC/8l5WzdX2UKGgGaAloD0MIfXiWIKNxbUCUhpRSlGgVS9NoFkdAhoBVhsqJ/HV9lChoBmgJaA9DCPJAZJEmmm9AlIaUUpRoFUvVaBZHQIaDWb/ffoB1fZQoaAZoCWgPQwibdjHNdGtxQJSGlFKUaBVLumgWR0CGhc91U2k0dX2UKGgGaAloD0MIpx/URcqTcECUhpRSlGgVS+poFkdAhocy0rsjV3V9lChoBmgJaA9DCDykGCDRAm9AlIaUUpRoFU0AAWgWR0CGiIJ0nw5OdX2UKGgGaAloD0MIZOlDF1QrbUCUhpRSlGgVS9toFkdAhonhNM495nV9lChoBmgJaA9DCOpb5nSZdnFAlIaUUpRoFUvtaBZHQIaKtLDhtLt1fZQoaAZoCWgPQwiWPnRBfVlyQJSGlFKUaBVL22gWR0CGitbPhQ3xdX2UKGgGaAloD0MIFRkdkAT/ZECUhpRSlGgVTegDaBZHQIaMBm5Dqnp1fZQoaAZoCWgPQwgk8l1KXWFzQJSGlFKUaBVLymgWR0CGjQ6Mir1edX2UKGgGaAloD0MIOurouBrDbECUhpRSlGgVS8toFkdAho3Mzl90BHV9lChoBmgJaA9DCHNoke08OXJAlIaUUpRoFUvLaBZHQIaN81dgOSZ1fZQoaAZoCWgPQwiuK2aEt0pgQJSGlFKUaBVN6ANoFkdAho+O0TlDGHV9lChoBmgJaA9DCB2taklHmG1AlIaUUpRoFUvMaBZHQIaQvgHeJpF1fZQoaAZoCWgPQwhK8IY0KqNvQJSGlFKUaBVLyWgWR0CGkrfVqesgdX2UKGgGaAloD0MIx7ji4qhBYECUhpRSlGgVTegDaBZHQIaUUbNr0rd1fZQoaAZoCWgPQwhDjq1niOpwQJSGlFKUaBVL9mgWR0CGlnq6e5FxdX2UKGgGaAloD0MInfaUnJPHckCUhpRSlGgVS+1oFkdAhpkoBRyfc3V9lChoBmgJaA9DCO317o936nBAlIaUUpRoFU0bAWgWR0CGmf8iOeasdX2UKGgGaAloD0MItRg8TPsyckCUhpRSlGgVS9toFkdAhppFjurp7nV9lChoBmgJaA9DCL0ZNV+lZnJAlIaUUpRoFU0AAWgWR0CGm4HWz4UOdX2UKGgGaAloD0MI6IL6ljlDcECUhpRSlGgVS+toFkdAhpvn58BuGnV9lChoBmgJaA9DCHO+2HtxonFAlIaUUpRoFU1YAWgWR0CGn4A9V3lkdX2UKGgGaAloD0MIeTvCaUGBZUCUhpRSlGgVTegDaBZHQIagiDZlFtt1fZQoaAZoCWgPQwgG8uzyLSNtQJSGlFKUaBVL3WgWR0CGobE4NqgzdX2UKGgGaAloD0MIUmFsIYjMcUCUhpRSlGgVS71oFkdAhqIUkOZssXV9lChoBmgJaA9DCHJTA81nImNAlIaUUpRoFU3oA2gWR0CGoycRUWEcdX2UKGgGaAloD0MIKuW1EnoxcUCUhpRSlGgVS81oFkdAhqV+LvTgEXV9lChoBmgJaA9DCL+CNGORc3NAlIaUUpRoFUvOaBZHQIamimTC+Dh1fZQoaAZoCWgPQwiD3bBt0Q1wQJSGlFKUaBVL12gWR0CGptJjlPrOdX2UKGgGaAloD0MIsi/ZeLB1cUCUhpRSlGgVS+VoFkdAhqklijL0SXV9lChoBmgJaA9DCElm9Q73mXBAlIaUUpRoFUvkaBZHQIapjQC0WuZ1fZQoaAZoCWgPQwhHWFTEqfdwQJSGlFKUaBVLuWgWR0CGqorGR3eOdX2UKGgGaAloD0MIeCrgnifscECUhpRSlGgVS8xoFkdAhqyxy4nWrnV9lChoBmgJaA9DCOVC5V8L7HBAlIaUUpRoFUvfaBZHQIavAre67NB1fZQoaAZoCWgPQwhDjNe86ntwQJSGlFKUaBVL3mgWR0CGr1gfEGaAdX2UKGgGaAloD0MIniYz3hZNcUCUhpRSlGgVS8FoFkdAhrFGEPDpDHV9lChoBmgJaA9DCHPWpxyTnHBAlIaUUpRoFUvfaBZHQIa0+kN4JNV1fZQoaAZoCWgPQwgo7niTH/JwQJSGlFKUaBVLzWgWR0CGtnj1f3N+dX2UKGgGaAloD0MI598u+7V4cUCUhpRSlGgVTQoBaBZHQIa3uv6j3251fZQoaAZoCWgPQwgoDwu1Zp5wQJSGlFKUaBVL5mgWR0CGufkYoAn2dX2UKGgGaAloD0MIf2399F9bcUCUhpRSlGgVS/NoFkdAhr2SLQ5WBHV9lChoBmgJaA9DCLw/3qtW6nBAlIaUUpRoFUvfaBZHQIa/NQCSzPd1fZQoaAZoCWgPQwixogbTMNJjQJSGlFKUaBVN6ANoFkdAhsAtsvZh8nV9lChoBmgJaA9DCPVLxFsnv3BAlIaUUpRoFUvXaBZHQIbA0LWqcVh1fZQoaAZoCWgPQwi4IFuWr0pxQJSGlFKUaBVL/mgWR0CGwRtShrWRdX2UKGgGaAloD0MIOne7XpolcUCUhpRSlGgVS81oFkdAhsO3eN1hcHV9lChoBmgJaA9DCCMVxhaCIHFAlIaUUpRoFUu9aBZHQIbEELKFIup1fZQoaAZoCWgPQwhxxjAnaPlwQJSGlFKUaBVL3mgWR0CGx5cynDR/dX2UKGgGaAloD0MI/B2KAn20Y0CUhpRSlGgVTegDaBZHQIbKne+Eh7p1fZQoaAZoCWgPQwjsh9hg4cZIQJSGlFKUaBVLtGgWR0CGyp9P1tfpdX2UKGgGaAloD0MIWriswmYycUCUhpRSlGgVS+1oFkdAhstKDkELY3V9lChoBmgJaA9DCBcQWg/f1W5AlIaUUpRoFUvOaBZHQIbO9+d9Ujt1fZQoaAZoCWgPQwgJNxlVBhdkQJSGlFKUaBVN6ANoFkdAhs8fFR51NnV9lChoBmgJaA9DCDVgkPSp73BAlIaUUpRoFUvVaBZHQIbQHfdhy811fZQoaAZoCWgPQwhy+Q/pN41kQJSGlFKUaBVN6ANoFkdAhtEMtbs4UHV9lChoBmgJaA9DCEp+xK9YZHFAlIaUUpRoFU0IAWgWR0CG0iAd4mkWdX2UKGgGaAloD0MIizTxDjAecUCUhpRSlGgVS8NoFkdAhtI2dVea8nV9lChoBmgJaA9DCMi3dw162GRAlIaUUpRoFU3oA2gWR0CG0msySFGodX2UKGgGaAloD0MIj1AzpAplYUCUhpRSlGgVTegDaBZHQIbUTiKiwjd1fZQoaAZoCWgPQwhdbcX+MqptQJSGlFKUaBVL+GgWR0CG1PivPkaNdX2UKGgGaAloD0MItkyG43lpbUCUhpRSlGgVS8loFkdAhtVuu7pV0nV9lChoBmgJaA9DCNbHQ9/dAXBAlIaUUpRoFUvOaBZHQIbXyr3j+711fZQoaAZoCWgPQwjNc0S+Cw1yQJSGlFKUaBVLwWgWR0CG2sp8WsRydX2UKGgGaAloD0MIpZ9wduuvcUCUhpRSlGgVS8RoFkdAhtsdy1eBx3V9lChoBmgJaA9DCJYFE3+Ut3JAlIaUUpRoFU0dAWgWR0CG3T2ECeVcdX2UKGgGaAloD0MIKXef4+OUcECUhpRSlGgVS7xoFkdAht1SeRPoFHV9lChoBmgJaA9DCP5hS4/m0nBAlIaUUpRoFUvWaBZHQIbd6Tnq3Vl1fZQoaAZoCWgPQwjQRxlxgbtyQJSGlFKUaBVL0GgWR0CG3pcgyM1kdX2UKGgGaAloD0MId9hEZi4Pc0CUhpRSlGgVS/hoFkdAht80AcT8HnV9lChoBmgJaA9DCDKwjuMHIXBAlIaUUpRoFUveaBZHQIbfpItlI3B1fZQoaAZoCWgPQwjOABdkCxRxQJSGlFKUaBVLvGgWR0CG4DoRIz3zdX2UKGgGaAloD0MIym37HrU4cUCUhpRSlGgVS+poFkdAhuIjJlrdnHV9lChoBmgJaA9DCIF4Xb9gYW9AlIaUUpRoFUveaBZHQIbipnOB19x1fZQoaAZoCWgPQwiSrS6nBKVkQJSGlFKUaBVN6ANoFkdAhuRVIiC8OHV9lChoBmgJaA9DCIUmiSWlQXFAlIaUUpRoFUvuaBZHQIbl65qdpZh1fZQoaAZoCWgPQwhkP4ulCANwQJSGlFKUaBVLv2gWR0CG5f1e0G/vdX2UKGgGaAloD0MIlX1XBP+jckCUhpRSlGgVS8BoFkdAhuhU/4ZdfXV9lChoBmgJaA9DCBxcOuZ8LXFAlIaUUpRoFUvraBZHQIboyfjCHh11fZQoaAZoCWgPQwithVloZ2FwQJSGlFKUaBVLw2gWR0CG6bCRfWtmdX2UKGgGaAloD0MI9fbnomGNcECUhpRSlGgVS9loFkdAhumyF49ovnV9lChoBmgJaA9DCASvljszy2RAlIaUUpRoFU3oA2gWR0CG6m3/giu/dX2UKGgGaAloD0MIzJvDtdqDckCUhpRSlGgVS/9oFkdAhuxZha1Ti3V9lChoBmgJaA9DCDhKXp3jg29AlIaUUpRoFUvwaBZHQIbtJj4Hoox1fZQoaAZoCWgPQwjEsMOY9PhtQJSGlFKUaBVLy2gWR0CG7ZlwLmZFdX2UKGgGaAloD0MImNu93CeJbkCUhpRSlGgVS/1oFkdAhu5wrc0tRXV9lChoBmgJaA9DCKBSJcpeXHFAlIaUUpRoFUvgaBZHQIbvIMx46fd1fZQoaAZoCWgPQwjRr62ffqJwQJSGlFKUaBVLxmgWR0CG70vvBrN4dX2UKGgGaAloD0MIfjuJCL+0cECUhpRSlGgVS89oFkdAhvFVWsA/93VlLg=="}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gASVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 320, "n_steps": 2048, "gamma": 0.99, "gae_lambda": 0.95, "ent_coef": 0.0, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 10, "clip_range": {":type:": "<class 'function'>", ":serialized:": "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"}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "system_info": {"OS": "Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022", "Python": "3.7.13", "Stable-Baselines3": "1.5.0", "PyTorch": "1.11.0+cu113", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}

replay.mp4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3d6d4f1396b65317858d5dab9d98c94fe14a2e76d4e81f1b85145b634d366402
-size 251903
+oid sha256:67a56dd1db6d83b8aa34e6c51759dd79bfc175465a52740f7d47ce9292c2d654
+size 249979

results.json

@@ -1 +1 @@
-{"mean_reward": 177.1553372533766, "std_reward": 93.22658712619601, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-07-05T07:22:10.439877"}
+{"mean_reward": 252.4942398884447, "std_reward": 42.03902066473123, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-07-05T07:49:49.766670"}