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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 0x7f433e00b5f0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f433e00b680>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f433e00b710>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f433e00b7a0>", "_build": "<function ActorCriticPolicy._build at 0x7f433e00b830>", "forward": "<function ActorCriticPolicy.forward at 0x7f433e00b8c0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f433e00b950>", "_predict": "<function ActorCriticPolicy._predict at 0x7f433e00b9e0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f433e00ba70>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f433e00bb00>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f433e00bb90>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f433e05c330>"}, "verbose": 1, "policy_kwargs": {":type:": "<class 'dict'>", ":serialized:": "gASVowAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRK/v///4wKb3J0aG9faW5pdJSJjA9vcHRpbWl6ZXJfY2xhc3OUjBN0b3JjaC5vcHRpbS5ybXNwcm9wlIwHUk1TcHJvcJSTlIwQb3B0aW1pemVyX2t3YXJnc5R9lCiMBWFscGhhlEc/764UeuFHrowDZXBzlEc+5Pi1iONo8YwMd2VpZ2h0X2RlY2F5lEsAdXUu", "log_std_init": -2, "ortho_init": false, "optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>", "optimizer_kwargs": {"alpha": 0.99, "eps": 1e-05, "weight_decay": 0}}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": 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