Upload PPO CarRacing-v0 trained agent

README.md

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+---
+library_name: stable-baselines3
+tags:
+- CarRacing-v0
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: PPO
+  results:
+  - metrics:
+    - type: mean_reward
+      value: -92.53 +/- 14.33
+      name: mean_reward
+    task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: CarRacing-v0
+      type: CarRacing-v0
+---
+
+# **PPO** Agent playing **CarRacing-v0**
+This is a trained model of a **PPO** agent playing **CarRacing-v0**
+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-v0.zip

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+version https://git-lfs.github.com/spec/v1
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+size 43337116

ppo-CarRacing-v0/_stable_baselines3_version

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+1.5.0

ppo-CarRacing-v0/policy.optimizer.pth

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ppo-CarRacing-v0/policy.pth

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+size 14194942

ppo-CarRacing-v0/pytorch_variables.pth

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ppo-CarRacing-v0/system_info.txt

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+OS: Linux-5.10.133+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Fri Aug 26 08:44:51 UTC 2022
+Python: 3.7.14
+Stable-Baselines3: 1.5.0
+PyTorch: 1.12.1+cu113
+GPU Enabled: True
+Numpy: 1.21.6
+Gym: 0.21.0

results.json

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+{"mean_reward": -92.53205386698247, "std_reward": 14.325221611161771, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-10-13T14:02:03.635037"}