Upload DQN LunarLander-v2 trained agent

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 50.78 +/- 139.96
+      value: -72.34 +/- 225.23
       name: mean_reward
       verified: false
 ---

config.json

@@ -1 +1 @@
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dqn-LunarLander-v2-seed42-4.zip

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dqn-LunarLander-v2-seed42-4/_stable_baselines3_version

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dqn-LunarLander-v2-seed42-4/data

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+        "__doc__": "\n    Policy class with Q-Value Net and target net for DQN\n\n    :param observation_space: Observation space\n    :param action_space: Action space\n    :param lr_schedule: Learning rate schedule (could be constant)\n    :param net_arch: The specification of the policy and value networks.\n    :param activation_fn: Activation function\n    :param features_extractor_class: Features extractor to use.\n    :param features_extractor_kwargs: Keyword arguments\n        to pass to the features extractor.\n    :param normalize_images: Whether to normalize images or not,\n         dividing by 255.0 (True by default)\n    :param 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    ",
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+        "low": "[-inf -inf -inf -inf -inf -inf -inf -inf]",
+        "high": "[inf inf inf inf inf inf inf inf]",
+        "bounded_below": "[False False False False False False False False]",
+        "bounded_above": "[False False False False False False False False]",
+        "_np_random": null
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dqn-LunarLander-v2-seed42-4/system_info.txt

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+- OS: Windows-10-10.0.22621-SP0 10.0.22621
+- Python: 3.9.13
+- Stable-Baselines3: 1.7.0
+- PyTorch: 1.13.1+cpu
+- GPU Enabled: False
+- Numpy: 1.23.5
+- Gym: 0.21.0

results.json

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