Upload PPO Car_Racing trained agent v1

CarRacing-v2.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:bd767827a709faedc5a0ee3cfab5bde2f8abec1405274744bc43941d9927219b
+size 26878540

CarRacing-v2/_stable_baselines3_version

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+2.0.0a5

CarRacing-v2/policy.optimizer.pth

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CarRacing-v2/policy.pth

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CarRacing-v2/pytorch_variables.pth

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CarRacing-v2/system_info.txt

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+- OS: Linux-5.15.109+-x86_64-with-glibc2.35 # 1 SMP Fri Jun 9 10:57:30 UTC 2023
+- Python: 3.10.12
+- Stable-Baselines3: 2.0.0a5
+- PyTorch: 2.0.1+cu118
+- GPU Enabled: False
+- Numpy: 1.23.5
+- Cloudpickle: 2.2.1
+- Gymnasium: 0.28.1
+- OpenAI Gym: 0.25.2

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: -74.49 +/- 23.67
+      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": -74.49005927890539, "std_reward": 23.670143795553713, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-08-09T19:19:11.429420"}