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If None, the latent features from the policy will be used.\n        Pass an empty list to use the states as features.\n    :param use_expln: Use ``expln()`` function instead of ``exp()`` 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 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 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 0x7fd18838ae60>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fd18838aef0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fd18838af80>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fd188391050>", "_build": "<function ActorCriticPolicy._build at 0x7fd1883910e0>", "forward": "<function ActorCriticPolicy.forward at 0x7fd188391170>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fd188391200>", "_predict": "<function ActorCriticPolicy._predict at 0x7fd188391290>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fd188391320>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fd1883913b0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fd188391440>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fd1883634b0>"}, "verbose": 1, "policy_kwargs": {}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": 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