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

## Usage
```python
model = load_from_hub(repo_id="QuickSilver007/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"])

```