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PPO commit

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README.md CHANGED
@@ -6,7 +6,7 @@ tags:
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  - reinforcement-learning
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  - stable-baselines3
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  model-index:
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- - name: A2C
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  results:
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  - task:
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  type: reinforcement-learning
@@ -16,13 +16,13 @@ model-index:
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  type: LunarLander-v2
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  metrics:
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  - type: mean_reward
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- value: -2560.60 +/- 631.35
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  name: mean_reward
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  verified: false
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  ---
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- # **A2C** Agent playing **LunarLander-v2**
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- This is a trained model of a **A2C** agent playing **LunarLander-v2**
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  using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
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  ## Usage (with Stable-baselines3)
 
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  - reinforcement-learning
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  - stable-baselines3
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  model-index:
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+ - name: PPO
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  results:
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  - task:
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  type: reinforcement-learning
 
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  type: LunarLander-v2
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  metrics:
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  - type: mean_reward
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+ value: 283.10 +/- 21.94
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  name: mean_reward
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  verified: false
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  ---
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+ # **PPO** Agent playing **LunarLander-v2**
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+ This is a trained model of a **PPO** agent playing **LunarLander-v2**
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  using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
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  ## Usage (with Stable-baselines3)
config.json CHANGED
@@ -1 +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 0x7e4b7d828430>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7e4b7d8284c0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7e4b7d828550>", 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PREEMPT_DYNAMIC Thu Jun 27 21:05:47 UTC 2024", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.5.0+cu121", "GPU Enabled": "True", "Numpy": "1.26.4", "Cloudpickle": "3.1.0", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}}
 
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