Uproad First Agent using PPO with environment LunarLander

README.md

@@ -0,0 +1,37 @@
+---
+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: -227.92 +/- 47.97
+      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
+
+...
+```

Second-Agent.zip

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+oid sha256:b8a6fe54f01e50bd5469d8297bdcbc8446cfae93685e0e8b3f42ed314b6bef9a
+size 42936

Second-Agent/_stable_baselines3_version

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+2.0.0a5

Second-Agent/data

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+        "__module__": "stable_baselines3.common.policies",
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Second-Agent/system_info.txt

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+- OS: Linux-5.15.109+-x86_64-with-glibc2.35 # 1 SMP Fri Jun 9 10:57:30 UTC 2023
+- Python: 3.10.12
+- Stable-Baselines3: 2.0.0a5
+- PyTorch: 2.0.1+cu118
+- GPU Enabled: True
+- Numpy: 1.23.5
+- Cloudpickle: 2.2.1
+- Gymnasium: 0.28.1
+- OpenAI Gym: 0.25.2

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results.json

@@ -0,0 +1 @@
+{"mean_reward": -227.9190117, "std_reward": 47.96909454454613, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-08-30T13:36:15.324447"}