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space\n    :param action_space: Action space\n    :param env: The training environment\n    :param device: PyTorch device\n    :param n_envs: Number of parallel environments\n    :param optimize_memory_usage: Enable a memory efficient variant\n        Disabled for now (see https://github.com/DLR-RM/stable-baselines3/pull/243#discussion_r531535702)\n    :param handle_timeout_termination: Handle timeout termination (due to timelimit)\n        separately and treat the task as infinite horizon task.\n        https://github.com/DLR-RM/stable-baselines3/issues/284\n    :param n_sampled_goal: Number of virtual transitions to create per real transition,\n        by sampling new goals.\n    :param goal_selection_strategy: Strategy for sampling goals for replay.\n        One of ['episode', 'final', 'future']\n    :param copy_info_dict: Whether to copy the info dictionary and pass it to\n        ``compute_reward()`` method.\n        Please note that the copy may cause a slowdown.\n        False by default.\n    ", "__init__": "<function HerReplayBuffer.__init__ at 0x784654cba7a0>", "__getstate__": "<function HerReplayBuffer.__getstate__ at 0x784654cba830>", "__setstate__": "<function HerReplayBuffer.__setstate__ at 0x784654cba8c0>", "set_env": "<function HerReplayBuffer.set_env at 0x784654cba950>", "add": "<function HerReplayBuffer.add at 0x784654cba9e0>", "_compute_episode_length": "<function HerReplayBuffer._compute_episode_length at 0x784654cbaa70>", "sample": "<function HerReplayBuffer.sample at 0x784654cbab00>", "_get_real_samples": "<function HerReplayBuffer._get_real_samples at 0x784654cbab90>", "_get_virtual_samples": "<function HerReplayBuffer._get_virtual_samples at 0x784654cbac20>", "_sample_goals": "<function HerReplayBuffer._sample_goals at 0x784654cbacb0>", "truncate_last_trajectory": "<function HerReplayBuffer.truncate_last_trajectory at 0x784654cbad40>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x784654cbfe40>"}, 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