| { |
| "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 0x7a008412f490>", |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7a008412f520>", |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7a008412f5b0>", |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7a008412f640>", |
| "_build": "<function ActorCriticPolicy._build at 0x7a008412f6d0>", |
| "forward": "<function ActorCriticPolicy.forward at 0x7a008412f760>", |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7a008412f7f0>", |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7a008412f880>", |
| "_predict": "<function ActorCriticPolicy._predict at 0x7a008412f910>", |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7a008412f9a0>", |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7a008412fa30>", |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7a008412fac0>", |
| "__abstractmethods__": "frozenset()", |
| "_abc_impl": "<_abc._abc_data object at 0x7a0084134540>" |
| }, |
| "verbose": 1, |
| "policy_kwargs": {}, |
| "num_timesteps": 507904, |
| "_total_timesteps": 500000, |
| "_num_timesteps_at_start": 0, |
| "seed": null, |
| "action_noise": null, |
| "start_time": 1697291471785564807, |
| "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": -0.015808000000000044, |
| "_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": 124, |
| "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:": "gAWV1QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCloCmgOjApfbnBfcmFuZG9tlE51Yi4=", |
| "n": "4", |
| "start": "0", |
| "_shape": [], |
| "dtype": "int64", |
| "_np_random": null |
| }, |
| "n_envs": 16, |
| "n_steps": 1024, |
| "gamma": 0.9, |
| "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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" |
| } |
| } |
