|
{ |
|
"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 0x7f868080d1f0>", |
|
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f868080d280>", |
|
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f868080d310>", |
|
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f868080d3a0>", |
|
"_build": "<function ActorCriticPolicy._build at 0x7f868080d430>", |
|
"forward": "<function ActorCriticPolicy.forward at 0x7f868080d4c0>", |
|
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7f868080d550>", |
|
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f868080d5e0>", |
|
"_predict": "<function ActorCriticPolicy._predict at 0x7f868080d670>", |
|
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f868080d700>", |
|
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f868080d790>", |
|
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f868080d820>", |
|
"__abstractmethods__": "frozenset()", |
|
"_abc_impl": "<_abc_data object at 0x7f8680805ae0>" |
|
}, |
|
"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:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", |
|
"n": 4, |
|
"_shape": [], |
|
"dtype": "int64", |
|
"_np_random": null |
|
}, |
|
"n_envs": 16, |
|
"num_timesteps": 2031616, |
|
"_total_timesteps": 2000000, |
|
"_num_timesteps_at_start": 0, |
|
"seed": null, |
|
"action_noise": null, |
|
"start_time": 1677462777581093209, |
|
"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": 800, |
|
"n_steps": 2048, |
|
"gamma": 0.999, |
|
"gae_lambda": 0.98, |
|
"ent_coef": 0.01, |
|
"vf_coef": 0.5, |
|
"max_grad_norm": 0.5, |
|
"batch_size": 256, |
|
"n_epochs": 8, |
|
"clip_range": { |
|
":type:": "<class 'function'>", |
|
":serialized:": "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" |
|
}, |
|
"clip_range_vf": null, |
|
"normalize_advantage": true, |
|
"target_kl": null |
|
} |