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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 0x7fca13d55990>", "reset": "<function RolloutBuffer.reset at 0x7fca13d55a20>", "compute_returns_and_advantage": "<function RolloutBuffer.compute_returns_and_advantage at 0x7fca13d55ab0>", "add": "<function RolloutBuffer.add at 0x7fca13d55b40>", "get": "<function RolloutBuffer.get at 0x7fca13d55bd0>", "_get_samples": "<function RolloutBuffer._get_samples at 0x7fca13d55c60>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7fca13d52740>"}, 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