You can deploy this model and start earning money today!

Mario16180/
ElPanaMario_q-FrozenLake-v1-4x4-noSlippery

Name: ElPanaMario_q-FrozenLake-v1-4x4-noSlippery
Availability: InStock

FrozenLake-v1-4x4-no_slippery

q-learning

reinforcement-learning

custom-implementation

model-index

Views

No views yet

Q-Learning Agent playing FrozenLake-v1

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

Usage

python

model = load_from_hub(repo_id="Mario16180/ElPanaMario_q-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["max_steps"], model["n_eval_episodes"], model["qtable"], model["eval_seed"])