| { | |
| "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 0x78f940517010>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x78f9405170a0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x78f940517130>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x78f9405171c0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x78f940517250>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x78f9405172e0>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x78f940517370>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x78f940517400>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x78f940517490>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x78f940517520>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x78f9405175b0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x78f940517640>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x78f9404b1700>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "num_timesteps": 1015808, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1712564150919914872, | |
| "learning_rate": 0.0003, | |
| "tensorboard_log": null, | |
| "_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, | |
| "_stats_window_size": 100, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "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" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 310, | |
| "observation_space": { | |
| ":type:": "<class 'gymnasium.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float32", | |
| "bounded_below": "[ True True True True True True True True]", | |
| "bounded_above": "[ True True True True True True True True]", | |
| "_shape": [ | |
| 8 | |
| ], | |
| "low": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", | |
| "high": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", | |
| "low_repr": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", | |
| "high_repr": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", | |
| "_np_random": null | |
| }, | |
| "action_space": { | |
| ":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", | |
| ":serialized:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=", | |
| "n": "4", | |
| "start": "0", | |
| "_shape": [], | |
| "dtype": "int64", | |
| "_np_random": null | |
| }, | |
| "n_envs": 16, | |
| "n_steps": 2048, | |
| "gamma": 0.99, | |
| "gae_lambda": 0.95, | |
| "ent_coef": 0.0, | |
| "vf_coef": 0.5, | |
| "max_grad_norm": 0.5, | |
| "batch_size": 64, | |
| "n_epochs": 10, | |
| "clip_range": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "clip_range_vf": null, | |
| "normalize_advantage": true, | |
| "target_kl": null, | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| } | |
| } |