|
{ |
|
"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 0x7f215d946c10>", |
|
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f215d946ca0>", |
|
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f215d946d30>", |
|
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f215d946dc0>", |
|
"_build": "<function ActorCriticPolicy._build at 0x7f215d946e50>", |
|
"forward": "<function ActorCriticPolicy.forward at 0x7f215d946ee0>", |
|
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7f215d946f70>", |
|
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f215d94a040>", |
|
"_predict": "<function ActorCriticPolicy._predict at 0x7f215d94a0d0>", |
|
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f215d94a160>", |
|
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f215d94a1f0>", |
|
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f215d94a280>", |
|
"__abstractmethods__": "frozenset()", |
|
"_abc_impl": "<_abc._abc_data object at 0x7f215d9437c0>" |
|
}, |
|
"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": 1679426139920774118, |
|
"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 |
|
} |