Unit1 - LunarLander-v2 - PPO - 1M steps

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: -1172.63 +/- 137.29
+      value: 186.59 +/- 86.42
       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 0x7f6a6c2cb490>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f6a6c2cb520>", "reset_noise": 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rollout here refers to the model-free notion and should not\n    be used with the concept of rollout used in model-based RL or planning.\n    Hence, it is only involved in policy and value function training but not action selection.\n\n    :param buffer_size: Max number of element in the buffer\n    :param observation_space: Observation space\n    :param action_space: Action space\n    :param device: PyTorch device\n    :param gae_lambda: Factor for trade-off of bias vs variance for Generalized Advantage Estimator\n        Equivalent to classic advantage when set to 1.\n    :param gamma: Discount factor\n    :param n_envs: Number of parallel environments\n    ", "__init__": "<function RolloutBuffer.__init__ at 0x7f6a6c60b250>", "reset": "<function RolloutBuffer.reset at 0x7f6a6c60b2e0>", "compute_returns_and_advantage": "<function RolloutBuffer.compute_returns_and_advantage at 0x7f6a6c60b370>", "add": "<function RolloutBuffer.add at 0x7f6a6c60b400>", "get": "<function RolloutBuffer.get 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ppo-LunarLander-v2-orig2/_stable_baselines3_version

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ppo-LunarLander-v2-orig2/data

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ppo-LunarLander-v2-orig2/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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