| { | |
| "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 0x7f0aa0cf0d30>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f0aa0cf0dc0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f0aa0cf0e50>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f0aa0cf0ee0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f0aa0cf0f70>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f0aa0cf3040>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f0aa0cf30d0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f0aa0cf3160>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f0aa0cf31f0>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f0aa0cf3280>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f0aa0cf3310>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f0aa0ce5ba0>" | |
| }, | |
| "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": 1652041112.9235907, | |
| "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 | |
| } |