Edit model card

Q-Learning Agent playing FrozenLake-v1

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

Usage

model = load_from_hub(repo_id="huijian222/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")

# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = gym.make(model["env_id"])

evaluate_agent(env, model["max_steps"], model["n_eval_episodes"], model["qtable"], model["eval_seed"])
Downloads last month

-

Downloads are not tracked for this model. How to track
Video Preview
loading

Evaluation results

  • mean_reward on FrozenLake-v1-4x4-no_slippery
    self-reported
    1.00 +/- 0.00