ppo-LunarLander-v2 / config.json
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Upload PPO LunarLander-v2 trained agent v2
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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 0x774f93472700>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x774f934727a0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x774f93472840>", 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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 0x774f933ff2e0>", "reset": "<function RolloutBuffer.reset at 0x774f933ff380>", "compute_returns_and_advantage": "<function RolloutBuffer.compute_returns_and_advantage at 0x774f933ff420>", "add": "<function RolloutBuffer.add at 0x774f933ff560>", "get": "<function RolloutBuffer.get at 0x774f933ff600>", "_get_samples": "<function RolloutBuffer._get_samples at 0x774f933ff6a0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x774f933f3b40>"}, 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