| { | |
| "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 0x7feca44a9040>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7feca44a90d0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7feca44a9160>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7feca44a91f0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7feca44a9280>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7feca44a9310>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7feca44a93a0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7feca44a9430>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7feca44a94c0>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7feca44a9550>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7feca44a95e0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7feca44a5480>" | |
| }, | |
| "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": 1672950063464439782, | |
| "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 | |
| } |