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In practice, ``exp()`` is usually enough.\n    :param clip_mean: Clip the mean output when using gSDE to avoid numerical instability.\n    :param features_extractor_class: Features extractor to use.\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    :param n_quantiles: Number of quantiles for the critic.\n    :param n_critics: Number of critic networks to create.\n    :param share_features_extractor: Whether to share or not the features extractor\n        between the actor and the critic (this saves computation time)\n    ", "__init__": "<function MultiInputPolicy.__init__ at 0x715a28a5b0a0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x715a28a57d00>"}, "verbose": 1, 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element in the buffer\n    :param observation_space: Observation 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 0x715a77fe5e10>", "__getstate__": "<function HerReplayBuffer.__getstate__ at 0x715a77fe5ea0>", "__setstate__": "<function HerReplayBuffer.__setstate__ at 0x715a77fe5f30>", "set_env": "<function HerReplayBuffer.set_env at 0x715a77fe5fc0>", "add": "<function HerReplayBuffer.add at 0x715a77fe6050>", "_compute_episode_length": "<function HerReplayBuffer._compute_episode_length at 0x715a77fe60e0>", "sample": "<function HerReplayBuffer.sample at 0x715a77fe6170>", "_get_real_samples": "<function HerReplayBuffer._get_real_samples at 0x715a77fe6200>", "_get_virtual_samples": "<function HerReplayBuffer._get_virtual_samples at 0x715a77fe6290>", "_sample_goals": "<function HerReplayBuffer._sample_goals at 0x715a77fe6320>", "truncate_last_trajectory": "<function HerReplayBuffer.truncate_last_trajectory at 0x715a77fe63b0>", "__abstractmethods__": "frozenset()", 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