| { | |
| "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 0x7e529ba0d120>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7e529ba0d1b0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7e529ba0d240>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7e529ba0d2d0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7e529ba0d360>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7e529ba0d3f0>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7e529ba0d480>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7e529ba0d510>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7e529ba0d5a0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7e529ba0d630>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7e529ba0d6c0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7e529ba0d750>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7e529b9aa880>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "num_timesteps": 1015808, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1711132785000475913, | |
| "learning_rate": 0.0003, | |
| "tensorboard_log": null, | |
| "_last_obs": null, | |
| "_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, | |
| "_stats_window_size": 100, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "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" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 496, | |
| "observation_space": { | |
| ":type:": "<class 'gymnasium.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float32", | |
| "bounded_below": "[ True True True True True True True True]", | |
| "bounded_above": "[ True True True True True True True True]", | |
| "_shape": [ | |
| 8 | |
| ], | |
| "low": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", | |
| "high": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", | |
| "low_repr": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", | |
| "high_repr": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", | |
| "_np_random": null | |
| }, | |
| "action_space": { | |
| ":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", | |
| ":serialized:": "gAWV/QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgLjAJpOJSJiIeUUpQoSwNoD05OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", | |
| "n": "4", | |
| "start": "0", | |
| "_shape": [], | |
| "dtype": "int64", | |
| "_np_random": null | |
| }, | |
| "n_envs": 1, | |
| "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, | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| } | |
| } |