| { | |
| "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 0x79691ae95f30>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x79691ae95fc0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x79691ae96050>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x79691ae960e0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x79691ae96170>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x79691ae96200>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x79691ae96290>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x79691ae96320>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x79691ae963b0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x79691ae96440>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x79691ae964d0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x79691ae96560>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x79691ae41f40>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "num_timesteps": 1015808, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1694703173540786772, | |
| "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": 248, | |
| "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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" | |
| } | |
| } |