| { | |
| "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 0x7fba9ea11dc0>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fba9ea11e50>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fba9ea11ee0>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fba9ea11f70>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7fba9ea15040>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7fba9ea150d0>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fba9ea15160>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fba9ea151f0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7fba9ea15280>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fba9ea15310>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fba9ea153a0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fba9ea15430>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7fba9ea103c0>" | |
| }, | |
| "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": 1000000.0, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1676594519363908547, | |
| "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:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAABAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////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": 560, | |
| "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 | |
| } |