|
{ |
|
"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 sde_net_arch: Network architecture for extracting features\n when using gSDE. If None, the latent features from the policy will be used.\n Pass an empty list to use the states as features.\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 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 0x7fefeb2bb1f0>", |
|
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fefeb2bb280>", |
|
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fefeb2bb310>", |
|
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fefeb2bb3a0>", |
|
"_build": "<function ActorCriticPolicy._build at 0x7fefeb2bb430>", |
|
"forward": "<function ActorCriticPolicy.forward at 0x7fefeb2bb4c0>", |
|
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fefeb2bb550>", |
|
"_predict": "<function ActorCriticPolicy._predict at 0x7fefeb2bb5e0>", |
|
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fefeb2bb670>", |
|
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fefeb2bb700>", |
|
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7fefeb2bb790>", |
|
"__abstractmethods__": "frozenset()", |
|
"_abc_impl": "<_abc_data object at 0x7fefeb2b9150>" |
|
}, |
|
"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": 16384, |
|
"_total_timesteps": 1000, |
|
"_num_timesteps_at_start": 0, |
|
"seed": null, |
|
"action_noise": null, |
|
"start_time": 1670257189048643697, |
|
"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": -15.384, |
|
"ep_info_buffer": { |
|
":type:": "<class 'collections.deque'>", |
|
":serialized:": "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" |
|
}, |
|
"ep_success_buffer": { |
|
":type:": "<class 'collections.deque'>", |
|
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" |
|
}, |
|
"_n_updates": 4, |
|
"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 |
|
} |