| { | |
| "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 0x7bdbec58e3b0>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7bdbec58e440>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7bdbec58e4d0>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7bdbec58e560>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7bdbec58e5f0>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7bdbec58e680>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7bdbec58e710>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7bdbec58e7a0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7bdbec58e830>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7bdbec58e8c0>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7bdbec58e950>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7bdbec58e9e0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7bdbec583740>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "num_timesteps": 524288, | |
| "_total_timesteps": 500000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1690281707996677161, | |
| "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": -0.04857599999999995, | |
| "_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": 480, | |
| "n_steps": 2048, | |
| "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, | |
| "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": 16, | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| } | |
| } |