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frozenLake_4x4_nonSlippery

Reinforcement Learning FrozenLake-v1-4x4 q-learning custom-implementation Eval Results
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Q-Learning Agent playing FrozenLake-version-1

This is a trained model of a Q-Learning Algorithm agent playing in the FrozenLake-v1 Environment .

Usage 

model = load_from_hub(repo_id="iiShreya/frozenLake_4x4_nonSlippery", filename="q-learning.pkl")
env = gym.make(model["env_id"])
evaluate_agent(env, model["max_steps"], model["n_eval_episodes"], model["qtable"], model["eval_seed"])
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Evaluation results

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