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README.md

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+---
+tags:
+- BreakoutNoFrameskip-v4
+- ppo
+- reinforcement-learning
+- stable-baselines3
+- deep-rl
+- atari
+model-index:
+  - name: PPO Breakout
+    results:
+      - task:
+          type: reinforcement-learning
+          name: Breakout
+        dataset:
+          name: BreakoutNoFrameskip-v4
+          type: atari
+        metrics:
+          - name: Mean Reward
+            type: mean_reward
+            value: 43.50 +/- 22.70
+---
+
+
+# **PPO** Agent playing **BreakoutNoFrameskip-v4**
+
+This is a trained model of a **PPO** agent playing **BreakoutNoFrameskip-v4**.
+
+To learn to use this model and train yours, check the Deep Reinforcement Learning Course on [Hugging Face](https://huggingface.co/deep-rl-course).

hyperparameters.json

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+{"env_id": "BreakoutNoFrameskip-v4", "max_t": 1000, "n_evaluation_episodes": 10}

ppo_breakout.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:479203c64d024243655dcc33471bf938e9446fe722cff90b6011340d37042607
+size 25496839

results.json

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+{"env_id": "BreakoutNoFrameskip-v4", "mean_reward": 43.5, "n_evaluation_episodes": 10, "eval_datetime": "2024-10-20T19:59:44.194282"}