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README.md

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+---
+tags:
+- Taxi-v3
+- q-learning
+- reinforcement-learning
+- custom-implementation
+model-index:
+- name: Taxi-v3
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: Taxi-v3
+      type: Taxi-v3
+    metrics:
+    - type: mean_reward
+      value: 7.38 +/- 2.45
+      name: mean_reward
+      verified: false
+---
+# **Q-Learning** Agent playing1 **Taxi-v3**This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .## Usage# pythonmodel = load_from_hub(repo_id="{repo_id}", 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 sha256:74952f7b828f8687d6a1d131cabc2c79bffcb64678a226ea6ee241f3b20969b6
+size 24570

results.json

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+{"env_id": "Taxi-v3", "mean_reward": 7.38, "n_eval_episodes": 100, "eval_datetime": "2023-06-24T07:11:15.427419"}