| { | |
| "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 0x7f525ada2f70>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f525ada8040>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f525ada80d0>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f525ada8160>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f525ada81f0>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f525ada8280>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f525ada8310>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f525ada83a0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f525ada8430>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f525ada84c0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f525ada8550>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f525ada6120>" | |
| }, | |
| "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": 1670986498021911094, | |
| "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 | |
| } |