trained locally

README.md

@@ -0,0 +1,37 @@
+---
+library_name: stable-baselines3
+tags:
+- LunarLander-v3
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: DQN
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: LunarLander-v3
+      type: LunarLander-v3
+    metrics:
+    - type: mean_reward
+      value: -84.57 +/- 101.09
+      name: mean_reward
+      verified: false
+---
+
+# **DQN** Agent playing **LunarLander-v3**
+This is a trained model of a **DQN** agent playing **LunarLander-v3**
+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 0x7480f7cf72e0>", "_build": "<function DQNPolicy._build at 0x7480f7cf7370>", "make_q_net": "<function DQNPolicy.make_q_net at 0x7480f7cf7400>", "forward": "<function DQNPolicy.forward at 0x7480f7cf7490>", "_predict": "<function DQNPolicy._predict at 0x7480f7cf7520>", "_get_constructor_parameters": "<function DQNPolicy._get_constructor_parameters at 0x7480f7cf75b0>", "set_training_mode": "<function DQNPolicy.set_training_mode at 0x7480f7cf7640>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7480ea905e00>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 500096, "_total_timesteps": 500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1733359075972309740, 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dqn-LunarLander-v3.zip

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dqn-LunarLander-v3/_stable_baselines3_version

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dqn-LunarLander-v3/data

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+- Python: 3.10.12
+- Stable-Baselines3: 2.4.0
+- PyTorch: 2.5.1+cu118
+- GPU Enabled: True
+- Numpy: 1.23.5
+- Cloudpickle: 3.1.0
+- Gymnasium: 1.0.0
+- OpenAI Gym: 0.26.2

results.json

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