Unit1 - LunarLander-v2 - PPO - 1M steps

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 269.15 +/- 17.65
+      value: 202.20 +/- 89.84
       name: mean_reward
       verified: false
 ---

config.json

@@ -1 +1 @@
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It allows to keep variance\n        above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n    :param squash_output: Whether to squash the output using a tanh function,\n        this allows to ensure boundaries when using gSDE.\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 share_features_extractor: If True, the features extractor is shared between the policy and value networks.\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    ", "__init__": "<function ActorCriticPolicy.__init__ at 0x7f57436a3490>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f57436a3520>", "reset_noise": 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ppo-LunarLander-v2-optim2.zip

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ppo-LunarLander-v2-optim2/_stable_baselines3_version

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ppo-LunarLander-v2-optim2/data

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+        "__annotations__": "{'observations': <class 'numpy.ndarray'>, 'actions': <class 'numpy.ndarray'>, 'rewards': <class 'numpy.ndarray'>, 'advantages': <class 'numpy.ndarray'>, 'returns': <class 'numpy.ndarray'>, 'episode_starts': <class 'numpy.ndarray'>, 'log_probs': <class 'numpy.ndarray'>, 'values': <class 'numpy.ndarray'>}",
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+        "__abstractmethods__": "frozenset()",
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+    },
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+}

ppo-LunarLander-v2-optim2/policy.optimizer.pth

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ppo-LunarLander-v2-optim2/system_info.txt

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+- OS: Linux-5.15.133.1-microsoft-standard-WSL2-x86_64-with-glibc2.31 # 1 SMP Thu Oct 5 21:02:42 UTC 2023
+- Python: 3.10.13
+- Stable-Baselines3: 2.2.1
+- PyTorch: 2.1.0.post301
+- GPU Enabled: True
+- Numpy: 1.26.2
+- Cloudpickle: 3.0.0
+- Gymnasium: 0.28.1
+- OpenAI Gym: 0.26.2

results.json

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