| { | |
| "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 0x7ae4218e27a0>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7ae4218e2830>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7ae4218e28c0>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7ae4218e2950>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7ae4218e29e0>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7ae4218e2a70>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7ae4218e2b00>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7ae4218e2b90>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7ae4218e2c20>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7ae4218e2cb0>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7ae4218e2d40>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7ae4218e2dd0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7ae42a130380>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "num_timesteps": 1015808, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1695737103585207467, | |
| "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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" | |
| } | |
| } |