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 = "crossroderick/q-FrozenLake-v1-4x4-noSlippery", filename = "q-learning.pkl")
This particular model was trained on the default version of FrozenLake-v1 in a 4x4 setting, so don't forget to set is_slippery = False and
specify map_name when loading the environment, such as:
env = gym.make(model["env_id"], map_name = "4x4", is_slippery = False)
Evaluation results
- mean_reward on FrozenLake-v1-4x4-no_slipperyself-reported1.00 +/- 0.00