| { | |
| "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 0x7fc758f64ee0>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fc758f64f70>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fc758f69040>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fc758f690d0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7fc758f69160>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7fc758f691f0>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fc758f69280>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7fc758f69310>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fc758f693a0>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fc758f69430>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fc758f694c0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7fc758f5dd80>" | |
| }, | |
| "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": 1, | |
| "num_timesteps": 15007744, | |
| "_total_timesteps": 15000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1671624067694421098, | |
| "learning_rate": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "tensorboard_log": null, | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "_last_obs": null, | |
| "_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": -0.0005162666666667093, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "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" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 7328, | |
| "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 | |
| } |