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{
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"__module__": "stable_baselines3.sac.policies",
"__annotations__": "{'actor': <class 'stable_baselines3.sac.policies.Actor'>, 'critic': <class 'stable_baselines3.common.policies.ContinuousCritic'>, 'critic_target': <class 'stable_baselines3.common.policies.ContinuousCritic'>}",
"__doc__": "\n Policy class (with both actor and critic) for SAC.\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 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 :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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"_build": "<function SACPolicy._build at 0x7fa5c6bd2290>",
"_get_constructor_parameters": "<function SACPolicy._get_constructor_parameters at 0x7fa5c6bd2320>",
"reset_noise": "<function SACPolicy.reset_noise at 0x7fa5c6bd23b0>",
"make_actor": "<function SACPolicy.make_actor at 0x7fa5c6bd2440>",
"make_critic": "<function SACPolicy.make_critic at 0x7fa5c6bd24d0>",
"forward": "<function SACPolicy.forward at 0x7fa5c6bd2560>",
"_predict": "<function SACPolicy._predict at 0x7fa5c6bd25f0>",
"set_training_mode": "<function SACPolicy.set_training_mode at 0x7fa5c6bd2680>",
"__abstractmethods__": "frozenset()",
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},
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],
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},
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"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": 0,
"action_noise": null,
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