| { | |
| "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 0x0000016CF54D6C10>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x0000016CF54D6CA0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x0000016CF54D6D30>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x0000016CF54D6DC0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x0000016CF54D6E50>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x0000016CF54D6EE0>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x0000016CF54D6F70>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x0000016CF54D7040>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x0000016CF54D70D0>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x0000016CF54D7160>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x0000016CF54D71F0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x0000016CF53BCC80>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "observation_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "gAWVpQEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lIwFZHR5cGWUk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLCIWUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWIAAAAAAAAAAAAID/AACA/wAAgP8AAID/AACA/wAAgP8AAID/AACA/5RoC0sIhZSMAUOUdJRSlIwEaGlnaJRoEyiWIAAAAAAAAAAAAIB/AACAfwAAgH8AAIB/AACAfwAAgH8AAIB/AACAf5RoC0sIhZRoFnSUUpSMDWJvdW5kZWRfYmVsb3eUaBMolggAAAAAAAAAAAAAAAAAAACUaAiMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLCIWUaBZ0lFKUjA1ib3VuZGVkX2Fib3ZllGgTKJYIAAAAAAAAAAAAAAAAAAAAlGgiSwiFlGgWdJRSlIwKX25wX3JhbmRvbZROdWIu", | |
| "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:": "gAWViAAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////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": 1671537764403489500, | |
| "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 | |
| } |