t3PbMvBN6SXv/q-FrozenLake-v1-4x4-noSlippery

Q-Learning Agent playing1 {env_id}

This is a trained model of a Q-Learning agent playing {env_id} .

Usage

python

model = load_from_hub(repo_id="{repo_id}", 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"])