| { | |
| "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 0x7fac29cb1670>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fac29cb1700>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fac29cb1790>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fac29cb1820>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7fac29cb18b0>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7fac29cb1940>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fac29cb19d0>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fac29cb1a60>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7fac29cb1af0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fac29cb1b80>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fac29cb1c10>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fac29cb1ca0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7fac29cb0e80>" | |
| }, | |
| "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": 1680043916197386246, | |
| "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 | |
| } |