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

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="Shilash/q-learning-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["n_eval_episodes"], model["qtable"], model["eval_seed"])