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"])
Evaluation results
- mean_reward on FrozenLake-v1-4x4self-reported0.79 +/- 0.41