Upload PPO Car Racing trained agent

README.md

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+---
+library_name: stable-baselines3
+tags:
+- CarRacing-v3
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: PPO
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: CarRacing-v3
+      type: CarRacing-v3
+    metrics:
+    - type: mean_reward
+      value: 494.62 +/- 276.88
+      name: mean_reward
+      verified: false
+---
+
+# **PPO** Agent playing **CarRacing-v3**
+This is a trained model of a **PPO** agent playing **CarRacing-v3**
+using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
+
+## Usage (with Stable-baselines3)
+TODO: Add your code
+
+
+```python
+from stable_baselines3 import ...
+from huggingface_sb3 import load_from_hub
+
+...
+```

ppo-CarRacing-v3.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0786577d3868003757fbb7492cc461fb191dc823fe4c958967e95df36675357f
+size 26441322

ppo-CarRacing-v3/_stable_baselines3_version

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+2.4.0

ppo-CarRacing-v3/policy.optimizer.pth

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+size 17416033

ppo-CarRacing-v3/policy.pth

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+size 8710383

ppo-CarRacing-v3/pytorch_variables.pth

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+version https://git-lfs.github.com/spec/v1
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+size 864

ppo-CarRacing-v3/system_info.txt

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+- OS: Linux-6.8.0-49-generic-x86_64-with-glibc2.35 # 49~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Nov  6 17:42:15 UTC 2
+- Python: 3.10.12
+- Stable-Baselines3: 2.4.0
+- PyTorch: 2.5.1+cu124
+- GPU Enabled: True
+- Numpy: 1.26.4
+- Cloudpickle: 3.1.0
+- Gymnasium: 1.0.0

results.json

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+{"mean_reward": 494.62166899999994, "std_reward": 276.8808427105871, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-12-18T21:28:11.379708"}