| { | |
| "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 0x7808d5db44c0>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7808d5db4550>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7808d5db45e0>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7808d5db4670>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7808d5db4700>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7808d5db4790>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7808d5db4820>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7808d5db48b0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7808d5db4940>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7808d5db49d0>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7808d5db4a60>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7808d5db4af0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7808d5d47480>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "num_timesteps": 1000448, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1714649764486135158, | |
| "learning_rate": 0.0003, | |
| "tensorboard_log": null, | |
| "_last_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAABoxMb32HHq62d+Qup7ZO7bDm0Y72iepOQAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksBSwiGlIwBQ5R0lFKULg==" | |
| }, | |
| "_last_episode_starts": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg==" | |
| }, | |
| "_last_original_obs": null, | |
| "_episode_num": 0, | |
| "use_sde": false, | |
| "sde_sample_freq": -1, | |
| "_current_progress_remaining": -0.00044800000000000395, | |
| "_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": 3908, | |
| "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:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=", | |
| "n": "4", | |
| "start": "0", | |
| "_shape": [], | |
| "dtype": "int64", | |
| "_np_random": null | |
| }, | |
| "n_envs": 1, | |
| "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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" | |
| } | |
| } |