| { | |
| "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 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 share_features_extractor: If True, the features extractor is shared between the policy and value networks.\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 0x7f2e77b39940>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f2e77b399d0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f2e77b39a60>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f2e77b39af0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f2e77b39b80>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f2e77b39c10>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f2e77b39ca0>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f2e77b39d30>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f2e77b39dc0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f2e77b39e50>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f2e77b39ee0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f2e77b39f70>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7f2e77b58880>" | |
| }, | |
| "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": 1678466595376447579, | |
| "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 | |
| } |