| { | |
| "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 0x7f5e6c123dc0>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f5e6c123e50>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f5e6c123ee0>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f5e6c123f70>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f5e6c127040>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f5e6c1270d0>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f5e6c127160>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f5e6c1271f0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f5e6c127280>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f5e6c127310>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f5e6c1273a0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f5e6c127430>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f5e6c1a2390>" | |
| }, | |
| "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": 1676551040131356925, | |
| "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 | |
| } |