| { | |
| "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 0x7f0cea07c170>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f0cea07c200>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f0cea07c290>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f0cea07c320>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f0cea07c3b0>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f0cea07c440>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f0cea07c4d0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f0cea07c560>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f0cea07c5f0>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f0cea07c680>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f0cea07c710>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f0cea138f00>" | |
| }, | |
| "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": 507904, | |
| "_total_timesteps": 500000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1652740010.073772, | |
| "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": 124, | |
| "n_steps": 1024, | |
| "gamma": 0.99, | |
| "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 | |
| } |