| { | |
| "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 0x7f9644a688c0>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f9644a68950>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f9644a689e0>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f9644a68a70>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f9644a68b00>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f9644a68b90>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f9644a68c20>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f9644a68cb0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f9644a68d40>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f9644a68dd0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f9644a68e60>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f9644a401b0>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "observation_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "gAWVnwEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLCIWUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWIAAAAAAAAAAAAID/AACA/wAAgP8AAID/AACA/wAAgP8AAID/AACA/5RoCksIhZSMAUOUdJRSlIwEaGlnaJRoEiiWIAAAAAAAAAAAAIB/AACAfwAAgH8AAIB/AACAfwAAgH8AAIB/AACAf5RoCksIhZRoFXSUUpSMDWJvdW5kZWRfYmVsb3eUaBIolggAAAAAAAAAAAAAAAAAAACUaAeMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLCIWUaBV0lFKUjA1ib3VuZGVkX2Fib3ZllGgSKJYIAAAAAAAAAAAAAAAAAAAAlGghSwiFlGgVdJRSlIwKX25wX3JhbmRvbZROdWIu", | |
| "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": 1653027046.0662835, | |
| "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": 310, | |
| "n_steps": 2048, | |
| "gamma": 0.99, | |
| "gae_lambda": 0.95, | |
| "ent_coef": 0.0, | |
| "vf_coef": 0.5, | |
| "max_grad_norm": 0.5, | |
| "batch_size": 64, | |
| "n_epochs": 10, | |
| "clip_range": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "clip_range_vf": null, | |
| "normalize_advantage": true, | |
| "target_kl": null | |
| } |