
  # **Q-Learning** Agent playing1 **Taxi-v3**
  This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .

  ## Usage

  ```python

  model = load_from_hub(repo_id="dhutchings/q-Taxi-v3", 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"])
  ```
  
{"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.46 +/- 2.78", "name": "mean_reward", "verified": false}]}]}]}
Taxi-v3 q-learning reinforcement-learning custom-implementation model-index region:us