|
{ |
|
"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 0x7b3839c0e3b0>", |
|
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7b3839c0e440>", |
|
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7b3839c0e4d0>", |
|
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7b3839c0e560>", |
|
"_build": "<function ActorCriticPolicy._build at 0x7b3839c0e5f0>", |
|
"forward": "<function ActorCriticPolicy.forward at 0x7b3839c0e680>", |
|
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7b3839c0e710>", |
|
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7b3839c0e7a0>", |
|
"_predict": "<function ActorCriticPolicy._predict at 0x7b3839c0e830>", |
|
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7b3839c0e8c0>", |
|
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7b3839c0e950>", |
|
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7b3839c0e9e0>", |
|
"__abstractmethods__": "frozenset()", |
|
"_abc_impl": "<_abc._abc_data object at 0x7b3839c18640>" |
|
}, |
|
"verbose": 1, |
|
"policy_kwargs": {}, |
|
"num_timesteps": 1015808, |
|
"_total_timesteps": 1000000, |
|
"_num_timesteps_at_start": 0, |
|
"seed": null, |
|
"action_noise": null, |
|
"start_time": 1710390888892986425, |
|
"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:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=", |
|
"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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" |
|
} |
|
} |