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README.md

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+---
+tags:
+- BreakoutNoFrameskip-v4
+- dqn
+- reinforcement-learning
+- custom-implementation
+model-index:
+- name: dqn-BreakoutNoFrameSkip-v4_cl
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: BreakoutNoFrameskip-v4
+      type: BreakoutNoFrameskip-v4
+    metrics:
+    - type: mean_reward
+      value: 3.90 +/- 2.39
+      name: mean_reward
+      verified: false
+---
+
+  # **Q-Learning** Agent playing1 **BreakoutNoFrameskip-v4**
+  This is a trained model of a **Q-Learning** agent playing **BreakoutNoFrameskip-v4** .
+
+  ## Usage
+
+  ```python
+  
+  model = load_from_hub(repo_id="Arch4ngel/dqn-BreakoutNoFrameSkip-v4_cl", filename="dqn.pkl")
+
+  # Don't forget to check if you need to add additional attributes (is_slippery=False etc)
+  env = gym.make(model["env_id"])
+  ```
+  

dqn.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ac7311de841673f60399d0ae64edcf081276fbc7d4b2d7bd33cb594929786061
+size 6750046

results.json

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+{"env_id": "BreakoutNoFrameskip-v4", "mean_reward": 3.9, "n_eval_episodes": 10, "eval_datetime": "2022-12-21T16:51:48.716776"}