|
{ |
|
"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 0x00000221367D2AF0>", |
|
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x00000221367D2B80>", |
|
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x00000221367D2C10>", |
|
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x00000221367D2CA0>", |
|
"_build": "<function ActorCriticPolicy._build at 0x00000221367D2D30>", |
|
"forward": "<function ActorCriticPolicy.forward at 0x00000221367D2DC0>", |
|
"extract_features": "<function ActorCriticPolicy.extract_features at 0x00000221367D2E50>", |
|
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x00000221367D2EE0>", |
|
"_predict": "<function ActorCriticPolicy._predict at 0x00000221367D2F70>", |
|
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x00000221367D4040>", |
|
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x00000221367D40D0>", |
|
"predict_values": "<function ActorCriticPolicy.predict_values at 0x00000221367D4160>", |
|
"__abstractmethods__": "frozenset()", |
|
"_abc_impl": "<_abc._abc_data object at 0x00000221367D1F00>" |
|
}, |
|
"verbose": 1, |
|
"policy_kwargs": {}, |
|
"observation_space": { |
|
":type:": "<class 'gym.spaces.box.Box'>", |
|
":serialized:": "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", |
|
"dtype": "float32", |
|
"_shape": [ |
|
8 |
|
], |
|
"low": "[-inf -inf -inf -inf -inf -inf -inf -inf]", |
|
"high": "[inf inf inf inf inf inf inf inf]", |
|
"bounded_below": "[False False False False False False False False]", |
|
"bounded_above": "[False False False False False False False False]", |
|
"_np_random": null |
|
}, |
|
"action_space": { |
|
":type:": "<class 'gym.spaces.discrete.Discrete'>", |
|
":serialized:": "gAWViAAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", |
|
"n": 4, |
|
"_shape": [], |
|
"dtype": "int64", |
|
"_np_random": null |
|
}, |
|
"n_envs": 16, |
|
"num_timesteps": 1015808, |
|
"_total_timesteps": 1000000, |
|
"_num_timesteps_at_start": 0, |
|
"seed": null, |
|
"action_noise": null, |
|
"start_time": 1680530290864710200, |
|
"learning_rate": 0.0003, |
|
"tensorboard_log": null, |
|
"lr_schedule": { |
|
":type:": "<class 'function'>", |
|
":serialized:": "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" |
|
}, |
|
"_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, |
|
"ep_info_buffer": { |
|
":type:": "<class 'collections.deque'>", |
|
":serialized:": "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" |
|
}, |
|
"ep_success_buffer": { |
|
":type:": "<class 'collections.deque'>", |
|
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" |
|
}, |
|
"_n_updates": 248, |
|
"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 |
|
} |