|
{ |
|
"policy_class": { |
|
":type:": "<class 'abc.ABCMeta'>", |
|
":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", |
|
"__module__": "stable_baselines3.common.policies", |
|
"__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 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 share_features_extractor: If True, the features extractor is shared between the policy and value networks.\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 0x7f5f0c770940>", |
|
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f5f0c7709d0>", |
|
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f5f0c770a60>", |
|
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f5f0c770af0>", |
|
"_build": "<function ActorCriticPolicy._build at 0x7f5f0c770b80>", |
|
"forward": "<function ActorCriticPolicy.forward at 0x7f5f0c770c10>", |
|
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7f5f0c770ca0>", |
|
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f5f0c770d30>", |
|
"_predict": "<function ActorCriticPolicy._predict at 0x7f5f0c770dc0>", |
|
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f5f0c770e50>", |
|
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f5f0c770ee0>", |
|
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f5f0c770f70>", |
|
"__abstractmethods__": "frozenset()", |
|
"_abc_impl": "<_abc._abc_data object at 0x7f5f0c774840>" |
|
}, |
|
"verbose": 1, |
|
"policy_kwargs": {}, |
|
"num_timesteps": 1015808, |
|
"_total_timesteps": 1000000, |
|
"_num_timesteps_at_start": 0, |
|
"seed": null, |
|
"action_noise": null, |
|
"start_time": 1685946153274888473, |
|
"learning_rate": 0.0003, |
|
"tensorboard_log": null, |
|
"_last_obs": { |
|
":type:": "<class 'numpy.ndarray'>", |
|
":serialized:": "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" |
|
}, |
|
"_last_episode_starts": { |
|
":type:": "<class 'numpy.ndarray'>", |
|
":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg==" |
|
}, |
|
"_last_original_obs": null, |
|
"_episode_num": 0, |
|
"use_sde": false, |
|
"sde_sample_freq": -1, |
|
"_current_progress_remaining": -0.015808000000000044, |
|
"_stats_window_size": 100, |
|
"ep_info_buffer": { |
|
":type:": "<class 'collections.deque'>", |
|
":serialized:": "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" |
|
}, |
|
"ep_success_buffer": { |
|
":type:": "<class 'collections.deque'>", |
|
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" |
|
}, |
|
"_n_updates": 248, |
|
"observation_space": { |
|
":type:": "<class 'gymnasium.spaces.box.Box'>", |
|
":serialized:": "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", |
|
"dtype": "float32", |
|
"bounded_below": "[ True True True True True True True True]", |
|
"bounded_above": "[ True True True True True True True True]", |
|
"_shape": [ |
|
8 |
|
], |
|
"low": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", |
|
"high": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", |
|
"low_repr": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", |
|
"high_repr": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", |
|
"_np_random": null |
|
}, |
|
"action_space": { |
|
":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", |
|
":serialized:": "gAWV1QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCloCmgOjApfbnBfcmFuZG9tlE51Yi4=", |
|
"n": "4", |
|
"start": "0", |
|
"_shape": [], |
|
"dtype": "int64", |
|
"_np_random": null |
|
}, |
|
"n_envs": 16, |
|
"n_steps": 1024, |
|
"gamma": 0.999, |
|
"gae_lambda": 0.98, |
|
"ent_coef": 0.01, |
|
"vf_coef": 0.5, |
|
"max_grad_norm": 0.5, |
|
"batch_size": 64, |
|
"n_epochs": 4, |
|
"clip_range": { |
|
":type:": "<class 'function'>", |
|
":serialized:": "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" |
|
}, |
|
"clip_range_vf": null, |
|
"normalize_advantage": true, |
|
"target_kl": null, |
|
"lr_schedule": { |
|
":type:": "<class 'function'>", |
|
":serialized:": "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" |
|
} |
|
} |