| { | |
| "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 0x7a15de0028c0>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7a15de002950>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7a15de0029e0>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7a15de002a70>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7a15de002b00>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7a15de002b90>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7a15de002c20>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7a15de002cb0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7a15de002d40>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7a15de002dd0>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7a15de002e60>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7a15de002ef0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7a15ddfa9d00>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "num_timesteps": 1015808, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1702250949412367295, | |
| "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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" | |
| } | |
| } |