| { | |
| "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 0x7fcb7d180e50>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fcb7d180ee0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fcb7d180f70>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fcb7d181000>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7fcb7d181090>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7fcb7d181120>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fcb7d1811b0>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fcb7d181240>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7fcb7d1812d0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fcb7d181360>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fcb7d1813f0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fcb7d181480>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7fcb7d1761c0>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "num_timesteps": 1572864, | |
| "_total_timesteps": 1570000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1686582390307425891, | |
| "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": -0.0018242038216560452, | |
| "_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": 384, | |
| "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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" | |
| } | |
| } |