| { | |
| "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 0x7fcf5c4725f0>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fcf5c472680>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fcf5c472710>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fcf5c4727a0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7fcf5c472830>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7fcf5c4728c0>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fcf5c472950>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7fcf5c4729e0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fcf5c472a70>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fcf5c472b00>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fcf5c472b90>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7fcf5c4be720>" | |
| }, | |
| "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": 1651689416.3254364, | |
| "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": 1024, | |
| "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 | |
| } |