Upload . with huggingface_hub

README.md

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+---
+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: 7.87 +/- 2.69
+      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
+
+    ```python
+
+    model = load_from_hub(repo_id="Knight85/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"])
+    ```
+    

q-learning.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:091c3ea1ac98f9ed375321cc8ef92104336fa7686ab90c38631b7e6992a90065
+size 24369

replay.mp4/openaigym.video.0.14332.video000000.meta.json

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+{"episode_id": 0, "content_type": "video/vnd.openai.ansivid"}

results.json

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+{"env_id": "Taxi-v3", "mean_reward": 7.87, "n_eval_episodes": 100, "eval_datetime": "2023-02-22T20:07:03.552422"}