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Q-Learning Agent playing FrozenLake-v1

This is a trained Q-Learning agent playing FrozenLake-v1.

Usage

import gymnasium as gym
from huggingface_hub import snapshot_download

# https://github.com/libertininick/r2seedo
from r2seedo.io import load_n_verify_model

# Download model snapshot from Hugging Face Hub
repo_local_path = snapshot_download(
  repo_id="libertininick/q-table-frozen-lake", 
  local_dir="path/to/download",
)

# Load the model from the snapshot
model = load_n_verify_model(repo_local_path)

# Create the environment
env = env_slippery = gym.make(
  id='FrozenLake-v1',
  map_name='4x4',
  is_slippery=True,
)
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Evaluation results

  • mean_reward on FrozenLake-v1-4x4-slippery
    self-reported
    0.75 +/- 0.43