FrozenLake-v1-4x4 q-learning reinforcement-learning custom-implementation

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"])