Upload DQN LunarLander-v2 trained agent

DQN-LundarLander-v2.zip

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DQN-LundarLander-v2/_stable_baselines3_version

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+1.6.0

DQN-LundarLander-v2/data

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+        "high": "[inf inf inf inf inf inf inf inf]",
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+        "bounded_above": "[False False False False False False False False]",
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+    }
+}

DQN-LundarLander-v2/policy.optimizer.pth

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+size 557935

DQN-LundarLander-v2/policy.pth

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DQN-LundarLander-v2/pytorch_variables.pth

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+size 431

DQN-LundarLander-v2/system_info.txt

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+OS: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022
+Python: 3.7.13
+Stable-Baselines3: 1.6.0
+PyTorch: 1.12.0+cu113
+GPU Enabled: True
+Numpy: 1.21.6
+Gym: 0.21.0

README.md

@@ -0,0 +1,36 @@
+---
+library_name: stable-baselines3
+tags:
+- LunarLander-v2
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: DQN
+  results:
+  - metrics:
+    - type: mean_reward
+      value: 154.35 +/- 123.25
+      name: mean_reward
+    task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: LunarLander-v2
+      type: LunarLander-v2
+---
+
+# **DQN** Agent playing **LunarLander-v2**
+This is a trained model of a **DQN** 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

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