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README.md

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+---
+tags:
+- Taxi-v3
+- q-learning
+- reinforcement-learning
+- custom-implementation
+---
+
+  # **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="eikoenchine/taxi-Q-learning-on-policy", 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"])
+  ```
+  

q-learning.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d7a1590e5ca7da9412eeac4e3c954ebde7200cb30d17d6945d012c9d0ef89b60
+size 24570

results.json

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+{"env_id": "Taxi-v3", "mean_reward": 7.56, "n_eval_episodes": 100, "eval_datetime": "2023-07-29T01:04:45.494061"}