|
{ |
|
"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 0x7f82e4a35d30>", |
|
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f82e4a35dc0>", |
|
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f82e4a35e50>", |
|
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f82e4a35ee0>", |
|
"_build": "<function ActorCriticPolicy._build at 0x7f82e4a35f70>", |
|
"forward": "<function ActorCriticPolicy.forward at 0x7f82e4a39040>", |
|
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7f82e4a390d0>", |
|
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f82e4a39160>", |
|
"_predict": "<function ActorCriticPolicy._predict at 0x7f82e4a391f0>", |
|
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f82e4a39280>", |
|
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f82e4a39310>", |
|
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f82e4a393a0>", |
|
"__abstractmethods__": "frozenset()", |
|
"_abc_impl": "<_abc_data object at 0x7f82e4a2ec60>" |
|
}, |
|
"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": 1676900448584909573, |
|
"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": 280, |
|
"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 |
|
} |