| { | |
| "policy_class": { | |
| ":type:": "<class 'abc.ABCMeta'>", | |
| ":serialized:": "gASVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", | |
| "__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 sde_net_arch: Network architecture for extracting features\n when using gSDE. If None, the latent features from the policy will be used.\n Pass an empty list to use the states as features.\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 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 0x7f7902214200>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f7902214290>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f7902214320>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f79022143b0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f7902214440>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f79022144d0>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f7902214560>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f79022145f0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f7902214680>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f7902214710>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f79022147a0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f7902257d20>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": { | |
| ":type:": "<class 'dict'>", | |
| ":serialized:": "gASVjgAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRK/v///4wKb3J0aG9faW5pdJSJjA1hY3RpdmF0aW9uX2ZulIwbdG9yY2gubm4ubW9kdWxlcy5hY3RpdmF0aW9ulIwEUmVMVZSTlIwIbmV0X2FyY2iUXZR9lCiMAnBplF2UKE0AAU0AAWWMAnZmlF2UKE0AAU0AAWV1YXUu", | |
| "log_std_init": -2, | |
| "ortho_init": false, | |
| "activation_fn": "<class 'torch.nn.modules.activation.ReLU'>", | |
| "net_arch": [ | |
| { | |
| "pi": [ | |
| 256, | |
| 256 | |
| ], | |
| "vf": [ | |
| 256, | |
| 256 | |
| ] | |
| } | |
| ] | |
| }, | |
| "observation_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float32", | |
| "_shape": [ | |
| 22 | |
| ], | |
| "low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf\n -inf -inf -inf -inf -inf -inf -inf -inf]", | |
| "high": "[inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf\n inf inf inf inf]", | |
| "bounded_below": "[False False False False False False False False False False False False\n False False False False False False False False False False]", | |
| "bounded_above": "[False False False False False False False False False False False False\n False False False False False False False False False False]", | |
| "_np_random": null | |
| }, | |
| "action_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float32", | |
| "_shape": [ | |
| 6 | |
| ], | |
| "low": "[-1. -1. -1. -1. -1. -1.]", | |
| "high": "[1. 1. 1. 1. 1. 1.]", | |
| "bounded_below": "[ True True True True True True]", | |
| "bounded_above": "[ True True True True True True]", | |
| "_np_random": null | |
| }, | |
| "n_envs": 16, | |
| "num_timesteps": 1007616, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1658412497.1830962, | |
| "learning_rate": 3e-05, | |
| "tensorboard_log": "./tensorboard", | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "_last_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "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" | |
| }, | |
| "_last_episode_starts": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gASVmAAAAAAAAACMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMDF9yZWNvbnN0cnVjdJSTlIwFbnVtcHmUjAduZGFycmF5lJOUSwCFlEMBYpSHlFKUKEsBSxCFlGgDjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYolDEAAAAAAAAAAAAAAAAAAAAACUdJRiLg==" | |
| }, | |
| "_last_original_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "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" | |
| }, | |
| "_episode_num": 0, | |
| "use_sde": true, | |
| "sde_sample_freq": 4, | |
| "_current_progress_remaining": -0.007616000000000067, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "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" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gASVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 3690, | |
| "n_steps": 512, | |
| "gamma": 0.99, | |
| "gae_lambda": 0.92, | |
| "ent_coef": 0.0, | |
| "vf_coef": 0.5, | |
| "max_grad_norm": 0.5, | |
| "batch_size": 256, | |
| "n_epochs": 30, | |
| "clip_range": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "clip_range_vf": null, | |
| "normalize_advantage": true, | |
| "target_kl": null | |
| } |