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README.md

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+---
+library_name: stable-baselines3
+tags:
+- LunarLander-v2
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: DQN
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: LunarLander-v2
+      type: LunarLander-v2
+    metrics:
+    - type: mean_reward
+      value: 40.65 +/- 103.04
+      name: mean_reward
+      verified: false
+---
+
+# **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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optimizer_class: The optimizer to use,\n        ``th.optim.Adam`` by default\n    :param optimizer_kwargs: Additional keyword arguments,\n        excluding the learning rate, to pass to the optimizer\n    ", "__init__": "<function DQNPolicy.__init__ at 0x7fcbcc9b4ca0>", "_build": "<function DQNPolicy._build at 0x7fcbcc9b4d30>", "make_q_net": "<function DQNPolicy.make_q_net at 0x7fcbcc9b4dc0>", "forward": "<function DQNPolicy.forward at 0x7fcbcc9b4e50>", "_predict": "<function DQNPolicy._predict at 0x7fcbcc9b4ee0>", "_get_constructor_parameters": "<function DQNPolicy._get_constructor_parameters at 0x7fcbcc9b4f70>", "set_training_mode": "<function DQNPolicy.set_training_mode at 0x7fcbcc9b5000>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7fcbcc9b1440>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 100000, "_total_timesteps": 100000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1688626326065901139, 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dqn-LunarLander-v2.zip

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dqn-LunarLander-v2/_stable_baselines3_version

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+- Python: 3.10.12
+- Stable-Baselines3: 2.0.0
+- PyTorch: 2.0.1+cu118
+- GPU Enabled: True
+- Numpy: 1.22.4
+- Cloudpickle: 2.2.1
+- Gymnasium: 0.28.1
+- OpenAI Gym: 0.25.2

results.json

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