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README.md

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+---
+tags:
+- MountainCar-v0
+- q-learning
+- reinforcement-learning
+- custom-implementation
+model-index:
+- name: q_learning-MountainCar
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: MountainCar-v0
+      type: MountainCar-v0
+    metrics:
+    - type: mean_reward
+      value: -161.82 +/- 27.16
+      name: mean_reward
+      verified: false
+---
+
+  # **Q-Learning** Agent playing1 **MountainCar-v0**
+  This is a trained model of a **Q-Learning** agent playing **MountainCar-v0** .
+
+  ## Usage
+
+  ```python
+
+  model = load_from_hub(repo_id="erfan1380/q_learning-MountainCar", 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 sha256:38813660230c26774e464562163807ca5d0ac814c807f3bf652926aa42346ac9
+size 9976

results.json

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+{"env_id": "MountainCar-v0", "mean_reward": -161.82, "n_eval_episodes": 100, "eval_datetime": "2024-05-15T22:34:31.473258"}