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        "__module__": "sb3_contrib.tqc.policies",
        "__doc__": "\n    Policy class (with both actor and critic) for TQC.\n\n    :param observation_space: Observation space\n    :param action_space: Action space\n    :param lr_schedule: Learning rate schedule (could be constant)\n    :param net_arch: The specification of the policy and value networks.\n    :param activation_fn: Activation function\n    :param use_sde: Whether to use State Dependent Exploration or not\n    :param log_std_init: Initial value for the log standard deviation\n    :param use_expln: Use ``expln()`` function instead of ``exp()`` when using gSDE to ensure\n        a positive standard deviation (cf paper). It allows to keep variance\n        above zero and prevent it from growing too fast. 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 features_extractor_kwargs: Keyword arguments\n        to pass to the feature extractor.\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    ",
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        "_get_constructor_parameters": "<function TQCPolicy._get_constructor_parameters at 0x7f9caad235e0>",
        "reset_noise": "<function TQCPolicy.reset_noise at 0x7f9caad23670>",
        "make_actor": "<function TQCPolicy.make_actor at 0x7f9caad23700>",
        "make_critic": "<function TQCPolicy.make_critic at 0x7f9caad23790>",
        "forward": "<function TQCPolicy.forward at 0x7f9caad23820>",
        "_predict": "<function TQCPolicy._predict at 0x7f9caad238b0>",
        "set_training_mode": "<function TQCPolicy.set_training_mode at 0x7f9caad23940>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc._abc_data object at 0x7f9caad24100>"
    },
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        "bounded_above": "[ True  True]",
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    "batch_size": 512,
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    "top_quantiles_to_drop_per_net": 2,
    "batch_norm_stats": [],
    "batch_norm_stats_target": []
}