Push PPO CNN Agent for CarRacingv0

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+replay.mp4 filter=lfs diff=lfs merge=lfs -text

PPO_CNN_For_CarRacing.zip

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PPO_CNN_For_CarRacing/_stable_baselines3_version

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+1.7.0

PPO_CNN_For_CarRacing/policy.optimizer.pth

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PPO_CNN_For_CarRacing/policy.pth

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PPO_CNN_For_CarRacing/pytorch_variables.pth

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PPO_CNN_For_CarRacing/system_info.txt

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+- OS: Linux-5.10.147+-x86_64-with-glibc2.29 # 1 SMP Sat Dec 10 16:00:40 UTC 2022
+- Python: 3.8.10
+- Stable-Baselines3: 1.7.0
+- PyTorch: 1.13.1+cu116
+- GPU Enabled: True
+- Numpy: 1.21.6
+- Gym: 0.21.0

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:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: CarRacing-v0
+      type: CarRacing-v0
+    metrics:
+    - type: mean_reward
+      value: 153.28 +/- 117.71
+      name: mean_reward
+      verified: false
+---
+
+# **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
+
+...
+```

replay.mp4

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results.json

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+{"mean_reward": 153.27774166315794, "std_reward": 117.7100965950417, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-02-06T11:07:48.947009"}