FrozenLake-v1-8x8 q-learning reinforcement-learning custom-implementation

Q-Learning Agent playing1 FrozenLake-v1

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

Usage


model = load_from_hub(repo_id="agcagc/q-FrozenLake-v1-8x8", filename="q-learning.pkl")

# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = gym.make('FrozenLake-v1', desc=None, map_name="8x8", is_slippery=True, max_episode_steps=max_steps)