|
{ |
|
"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 0x7f24170d44c0>", |
|
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f24170d4550>", |
|
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f24170d45e0>", |
|
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f24170d4670>", |
|
"_build": "<function ActorCriticPolicy._build at 0x7f24170d4700>", |
|
"forward": "<function ActorCriticPolicy.forward at 0x7f24170d4790>", |
|
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7f24170d4820>", |
|
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f24170d48b0>", |
|
"_predict": "<function ActorCriticPolicy._predict at 0x7f24170d4940>", |
|
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f24170d49d0>", |
|
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f24170d4a60>", |
|
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f24170d4af0>", |
|
"__abstractmethods__": "frozenset()", |
|
"_abc_impl": "<_abc._abc_data object at 0x7f24170d8140>" |
|
}, |
|
"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": 1015808, |
|
"_total_timesteps": 1000000, |
|
"_num_timesteps_at_start": 0, |
|
"seed": null, |
|
"action_noise": null, |
|
"start_time": 1678528918288939326, |
|
"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 |
|
} |