trained model for CarRacing-v2 using PPO

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: 548.79 +/- 245.52
+      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
+
+...
+```

ppo-CarRacing-v2.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:890e086687295fa6ff34cce374bb523b79ff610a767397caee0111bc3f3c1846
+size 26588491

ppo-CarRacing-v2/_stable_baselines3_version

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+2.3.2

ppo-CarRacing-v2/policy.optimizer.pth

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+version https://git-lfs.github.com/spec/v1
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+size 17415649

ppo-CarRacing-v2/policy.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3b0885888ee020222371ad25a44a2f9eededebc3307b4cf15ec6c19b0bc16139
+size 8709935

ppo-CarRacing-v2/pytorch_variables.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ebdad4b9cfe9cd22a3abadb5623bf7bb1f6eb2e408740245eb3f2044b0adc018
+size 864

ppo-CarRacing-v2/system_info.txt

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+- OS: macOS-14.4.1-arm64-arm-64bit Darwin Kernel Version 23.4.0: Fri Mar 15 00:19:22 PDT 2024; root:xnu-10063.101.17~1/RELEASE_ARM64_T8112
+- Python: 3.9.6
+- Stable-Baselines3: 2.3.2
+- PyTorch: 2.3.0
+- GPU Enabled: False
+- Numpy: 1.26.4
+- Cloudpickle: 3.0.0
+- Gymnasium: 0.29.1

results.json

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+{"mean_reward": 548.7919274792075, "std_reward": 245.51605233033743, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-05-15T18:48:59.678314"}