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{ |
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"policy_class": { |
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":type:": "<class 'abc.ABCMeta'>", |
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"__module__": "stable_baselines3.common.policies", |
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"__doc__": "\n Policy class for actor-critic algorithms (has both policy and value prediction).\n Used by A2C, PPO and the likes.\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 ortho_init: Whether to use or not orthogonal initialization\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 full_std: Whether to use (n_features x n_actions) parameters\n for the std instead of only (n_features,) when using gSDE\n :param sde_net_arch: Network architecture for extracting features\n when using gSDE. 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 ", |
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"__init__": "<function ActorCriticPolicy.__init__ at 0x7f25b7182040>", |
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"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f25b71820d0>", |
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"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f25b7182160>", |
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"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f25b71821f0>", |
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"_build": "<function ActorCriticPolicy._build at 0x7f25b7182280>", |
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"forward": "<function ActorCriticPolicy.forward at 0x7f25b7182310>", |
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"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f25b71823a0>", |
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"_predict": "<function ActorCriticPolicy._predict at 0x7f25b7182430>", |
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"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f25b71824c0>", |
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"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f25b7182550>", |
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"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f25b71825e0>", |
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"__abstractmethods__": "frozenset()", |
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"_abc_impl": "<_abc_data object at 0x7f25b717ad80>" |
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}, |
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"verbose": 1, |
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"policy_kwargs": { |
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"optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>", |
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":serialized:": "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" |
|
}, |
|
"ep_success_buffer": { |
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":type:": "<class 'collections.deque'>", |
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":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" |
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}, |
|
"_n_updates": 62500, |
|
"n_steps": 8, |
|
"gamma": 0.99, |
|
"gae_lambda": 0.9, |
|
"ent_coef": 0.0, |
|
"vf_coef": 0.4, |
|
"max_grad_norm": 0.5, |
|
"normalize_advantage": false |
|
} |