| { |
| "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 0x7fbe3e1b70a0>", |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fbe3e1b7130>", |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fbe3e1b71c0>", |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fbe3e1b7250>", |
| "_build": "<function ActorCriticPolicy._build at 0x7fbe3e1b72e0>", |
| "forward": "<function ActorCriticPolicy.forward at 0x7fbe3e1b7370>", |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fbe3e1b7400>", |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fbe3e1b7490>", |
| "_predict": "<function ActorCriticPolicy._predict at 0x7fbe3e1b7520>", |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fbe3e1b75b0>", |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fbe3e1b7640>", |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fbe3e1b76d0>", |
| "__abstractmethods__": "frozenset()", |
| "_abc_impl": "<_abc._abc_data object at 0x7fbe3e1a4540>" |
| }, |
| "verbose": 1, |
| "policy_kwargs": {}, |
| "num_timesteps": 507904, |
| "_total_timesteps": 500000, |
| "_num_timesteps_at_start": 0, |
| "seed": null, |
| "action_noise": null, |
| "start_time": 1686906304558775489, |
| "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": 187, |
| "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:": "gAWV1QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCloCmgOjApfbnBfcmFuZG9tlE51Yi4=", |
| "n": "4", |
| "start": "0", |
| "_shape": [], |
| "dtype": "int64", |
| "_np_random": null |
| }, |
| "n_envs": 16, |
| "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, |
| "lr_schedule": { |
| ":type:": "<class 'function'>", |
| ":serialized:": "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" |
| } |
| } |
