My trained model

PPO_model_v1.zip

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PPO_model_v1/_stable_baselines3_version

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+2.3.2

PPO_model_v1/policy.optimizer.pth

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PPO_model_v1/policy.pth

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PPO_model_v1/pytorch_variables.pth

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PPO_model_v1/system_info.txt

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+- OS: macOS-14.6.1-arm64-i386-64bit Darwin Kernel Version 23.6.0: Mon Jul 29 21:14:30 PDT 2024; root:xnu-10063.141.2~1/RELEASE_ARM64_T6000
+- Python: 3.11.9
+- Stable-Baselines3: 2.3.2
+- PyTorch: 2.3.1
+- GPU Enabled: False
+- Numpy: 1.26.4
+- Cloudpickle: 3.0.0
+- Gymnasium: 0.29.1
+- OpenAI Gym: 0.17.2

README.md

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+---
+library_name: stable-baselines3
+tags:
+- CarRacing-v2
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: PPO
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: CarRacing-v2
+      type: CarRacing-v2
+    metrics:
+    - type: mean_reward
+      value: 850.01 +/- 137.65
+      name: mean_reward
+      verified: false
+---
+
+# **PPO** Agent playing **CarRacing-v2**
+This is a trained model of a **PPO** agent playing **CarRacing-v2**
+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
+
+...
+```

results.json

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+{"mean_reward": 850.0146951, "std_reward": 137.65236984414358, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-09-19T13:37:19.028795"}