First attempt PPO LunarLander-v2 trained agent

PPO-LunarLander-v2-RVD.zip

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PPO-LunarLander-v2-RVD/_stable_baselines3_version

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PPO-LunarLander-v2-RVD/data

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+ },
+ "clip_range_vf": null,
+ "normalize_advantage": true,
+ "target_kl": null
+}

PPO-LunarLander-v2-RVD/policy.optimizer.pth

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+size 87929

PPO-LunarLander-v2-RVD/policy.pth

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+oid sha256:815490f5cf00d177a9e480d03dcfa0b05b6117bc7dbbc79c85f0c0ae66b838a8
+size 43201

PPO-LunarLander-v2-RVD/pytorch_variables.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d030ad8db708280fcae77d87e973102039acd23a11bdecc3db8eb6c0ac940ee1
+size 431

PPO-LunarLander-v2-RVD/system_info.txt

@@ -0,0 +1,7 @@
+OS: Linux-5.10.133+-x86_64-with-glibc2.27 #1 SMP Fri Aug 26 08:44:51 UTC 2022
+Python: 3.8.16
+Stable-Baselines3: 1.6.2
+PyTorch: 1.13.0+cu116
+GPU Enabled: True
+Numpy: 1.21.6
+Gym: 0.21.0

README.md

@@ -1,3 +1,37 @@
 ---
-license: gpl-2.0
+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: 284.82 +/- 13.27
+ 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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results.json

@@ -0,0 +1 @@
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