CartPole-v1 q-learning reinforcement-learning custom-implementation

Q-Learning Agent playing CartPole-v1

This is a trained model of a Q-Learning agent playing CartPole-v1 .

Usage

model = load_from_hub(repo_id="artbreguez/Q-Cartpole-v1", 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"])