| { |
| "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 0x7b61dbe482c0>", |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7b61dbe48360>", |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7b61dbe48400>", |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7b61dbe484a0>", |
| "_build": "<function ActorCriticPolicy._build at 0x7b61dbe48540>", |
| "forward": "<function ActorCriticPolicy.forward at 0x7b61dbe485e0>", |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7b61dbe48680>", |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7b61dbe48720>", |
| "_predict": "<function ActorCriticPolicy._predict at 0x7b61dbe487c0>", |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7b61dbe48860>", |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7b61dbe48900>", |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7b61dbe489a0>", |
| "__abstractmethods__": "frozenset()", |
| "_abc_impl": "<_abc._abc_data object at 0x7b61dbf0bc40>" |
| }, |
| "verbose": true, |
| "policy_kwargs": {}, |
| "num_timesteps": 16384, |
| "_total_timesteps": 1000000, |
| "_num_timesteps_at_start": 0, |
| "seed": null, |
| "action_noise": null, |
| "start_time": 1741403725916390199, |
| "learning_rate": 0.0003, |
| "tensorboard_log": null, |
| "_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": 0.983616, |
| "_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": 623, |
| "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:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=", |
| "n": "4", |
| "start": "0", |
| "_shape": [], |
| "dtype": "int64", |
| "_np_random": null |
| }, |
| "n_envs": 16, |
| "n_steps": 1024, |
| "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, |
| "lr_schedule": { |
| ":type:": "<class 'function'>", |
| ":serialized:": "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" |
| } |
| } |
