| { | |
| "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 0x7d9f51ceb490>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7d9f51ceb520>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7d9f51ceb5b0>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7d9f51ceb640>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7d9f51ceb6d0>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7d9f51ceb760>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7d9f51ceb7f0>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7d9f51ceb880>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7d9f51ceb910>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7d9f51ceb9a0>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7d9f51ceba30>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7d9f51cebac0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7d9f51cf5540>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "num_timesteps": 1015808, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1690139336668650643, | |
| "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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" | |
| } | |
| } |