| { | |
| "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 0x7f9b82294710>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f9b822947a0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f9b82294830>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f9b822948c0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f9b82294950>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f9b822949e0>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f9b82294a70>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f9b82294b00>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f9b82294b90>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f9b82294c20>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f9b82294cb0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f9b822e6420>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": { | |
| ":type:": "<class 'dict'>", | |
| ":serialized:": "gAWVcAAAAAAAAAB9lCiMDWFjdGl2YXRpb25fZm6UjBt0b3JjaC5ubi5tb2R1bGVzLmFjdGl2YXRpb26UjARUYW5olJOUjAhuZXRfYXJjaJRdlH2UKIwCdmaUXZQoS0BLIEsgSxBljAJwaZRdlChLQEsgSyBLEGV1YXUu", | |
| "activation_fn": "<class 'torch.nn.modules.activation.Tanh'>", | |
| "net_arch": [ | |
| { | |
| "vf": [ | |
| 64, | |
| 32, | |
| 32, | |
| 16 | |
| ], | |
| "pi": [ | |
| 64, | |
| 32, | |
| 32, | |
| 16 | |
| ] | |
| } | |
| ] | |
| }, | |
| "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": 1651714358.1590164, | |
| "learning_rate": 0.0007, | |
| "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": 310, | |
| "n_steps": 1024, | |
| "gamma": 0.99, | |
| "gae_lambda": 0.99, | |
| "ent_coef": 0.0, | |
| "vf_coef": 0.8, | |
| "max_grad_norm": 0.5, | |
| "batch_size": 128, | |
| "n_epochs": 5, | |
| "clip_range": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "clip_range_vf": null, | |
| "normalize_advantage": true, | |
| "target_kl": null | |
| } |