| { | |
| "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 0x7fb51cb4a4c0>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fb51cb4a550>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fb51cb4a5e0>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fb51cb4a670>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7fb51cb4a700>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7fb51cb4a790>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fb51cb4a820>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fb51cb4a8b0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7fb51cb4a940>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fb51cb4a9d0>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fb51cb4aa60>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fb51cb4aaf0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7fb51cb47e80>" | |
| }, | |
| "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": 1679951367027412712, | |
| "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 | |
| } |