LunarLander model, chapter 1 of the hands-on of Hugging Face's Deep RL course

Lunar_lander_chp_1_BETER.zip

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Lunar_lander_chp_1_BETER/_stable_baselines3_version

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Lunar_lander_chp_1_BETER/data

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+    "target_kl": null
+}

Lunar_lander_chp_1_BETER/policy.optimizer.pth

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+size 87545

Lunar_lander_chp_1_BETER/policy.pth

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+size 43265

Lunar_lander_chp_1_BETER/pytorch_variables.pth

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+version https://git-lfs.github.com/spec/v1
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+size 431

Lunar_lander_chp_1_BETER/system_info.txt

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+- OS: Linux-5.10.147+-x86_64-with-glibc2.31 # 1 SMP Sat Dec 10 16:00:40 UTC 2022
+- Python: 3.9.16
+- Stable-Baselines3: 1.7.0
+- PyTorch: 1.13.1+cu116
+- GPU Enabled: False
+- Numpy: 1.22.4
+- Gym: 0.21.0

README.md

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+---
+library_name: stable-baselines3
+tags:
+- LunarLander-v2
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: PPO
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: LunarLander-v2
+      type: LunarLander-v2
+    metrics:
+    - type: mean_reward
+      value: 291.87 +/- 15.80
+      name: mean_reward
+      verified: false
+---
+
+# **PPO** Agent playing **LunarLander-v2**
+This is a trained model of a **PPO** agent playing **LunarLander-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
+
+...
+```

config.json

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It allows to keep variance\n        above zero and prevent it from growing too fast. 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results.json

@@ -0,0 +1 @@
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