| { | |
| "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 0x7f88ea4ca790>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f88ea4ca820>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f88ea4ca8b0>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f88ea4ca940>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f88ea4ca9d0>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f88ea4caa60>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f88ea4caaf0>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f88ea4cab80>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f88ea4cac10>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f88ea4caca0>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f88ea4cad30>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f88ea4cadc0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f88ea4c4b10>" | |
| }, | |
| "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": 16, | |
| "num_timesteps": 1015808, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1677170416334963238, | |
| "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:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg==" | |
| }, | |
| "_last_original_obs": null, | |
| "_episode_num": 0, | |
| "use_sde": false, | |
| "sde_sample_freq": -1, | |
| "_current_progress_remaining": -0.015808000000000044, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "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" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 248, | |
| "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 | |
| } |