| { | |
| "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 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 0x7fa54a8fe440>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fa54a8fe4d0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fa54a8fe560>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fa54a8fe5f0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7fa54a8fe680>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7fa54a8fe710>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fa54a8fe7a0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7fa54a8fe830>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fa54a8fe8c0>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fa54a8fe950>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fa54a8fe9e0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7fa54a93bd50>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "observation_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float32", | |
| "_shape": [ | |
| 8 | |
| ], | |
| "low": "[-inf -inf -inf -inf -inf -inf -inf -inf]", | |
| "high": "[inf inf inf inf inf inf inf inf]", | |
| "bounded_below": "[False False False False False False False False]", | |
| "bounded_above": "[False False False False False False False False]", | |
| "_np_random": null | |
| }, | |
| "action_space": { | |
| ":type:": "<class 'gym.spaces.discrete.Discrete'>", | |
| ":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", | |
| "n": 4, | |
| "_shape": [], | |
| "dtype": "int64", | |
| "_np_random": null | |
| }, | |
| "n_envs": 24, | |
| "num_timesteps": 1032192, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1651686647.2561293, | |
| "learning_rate": 0.0003, | |
| "tensorboard_log": null, | |
| "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:": "gAWViwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJSMBW51bXB5lIwFZHR5cGWUk5SMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLGIWUjAFDlHSUUpQu" | |
| }, | |
| "_last_original_obs": null, | |
| "_episode_num": 0, | |
| "use_sde": false, | |
| "sde_sample_freq": -1, | |
| "_current_progress_remaining": -0.032192, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "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" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 210, | |
| "n_steps": 2048, | |
| "gamma": 0.99, | |
| "gae_lambda": 0.95, | |
| "ent_coef": 0.0, | |
| "vf_coef": 0.5, | |
| "max_grad_norm": 0.5, | |
| "batch_size": 64, | |
| "n_epochs": 10, | |
| "clip_range": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "clip_range_vf": null, | |
| "normalize_advantage": true, | |
| "target_kl": null | |
| } |