| { | |
| "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 0x7c8c91074a60>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7c8c91074af0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7c8c91074b80>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7c8c91074c10>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7c8c91074ca0>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7c8c91074d30>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7c8c91074dc0>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7c8c91074e50>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7c8c91074ee0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7c8c91074f70>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7c8c91075000>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7c8c91075090>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7c8c9106d700>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "num_timesteps": 2015232, | |
| "_total_timesteps": 2000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1691482247031474118, | |
| "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": -0.007616000000000067, | |
| "_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": 492, | |
| "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:": "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", | |
| "n": "4", | |
| "start": "0", | |
| "_shape": [], | |
| "dtype": "int64", | |
| "_np_random": "Generator(PCG64)" | |
| }, | |
| "n_envs": 16, | |
| "n_steps": 1024, | |
| "gamma": 0.995, | |
| "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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" | |
| } | |
| } |