| { | |
| "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 0x7ae4af0a2ef0>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7ae4af0a2f80>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7ae4af0a3010>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7ae4af0a30a0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7ae4af0a3130>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7ae4af0a31c0>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7ae4af0a3250>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7ae4af0a32e0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7ae4af0a3370>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7ae4af0a3400>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7ae4af0a3490>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7ae4af0a3520>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7ae4af9d1180>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "num_timesteps": 1015808, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1712664021611996414, | |
| "learning_rate": 0.0003, | |
| "tensorboard_log": null, | |
| "_last_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVdQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAgAAAAAAAAYGUT7+JJg/i7G5PtPGD7/I4FM+8G7VPAAAAAAAAAAA4JwzPtRft7xmRPg7g2ibuoLBI74aA3e7AACAPwAAgD9gxBe+rOtePlomdz11RaC+bE5rvQlCiz0AAAAAAAAAADN6nr3DnQS6vwm8PB8e7zioxea6XtbqNwAAgD8AAIA/ZnyhPZUrUT8ugKU9JAwAv0BrAz5OmRk8AAAAAAAAAADa9pK9hb2mPGKnoT0Rd/y9AMh9PbqqQ7wAAAAAAAAAAGbt4D21IBU+5bBlPE22jb7pcJw88u2dvAAAAAAAAAAAxgSWPqzhNj+haIg9KrzyvkQPJD5T8Mq9AAAAAAAAAABa8Sq+w7Evup1cYDssofa43+qYOy41yLcAAIA/AACAP3NMhT6pum49/XV1vSH+K74kLA88DWHhOwAAAAAAAAAAAItlvXtKp7p44Mm0bY2Yr3m6kLrFlsIzAACAPwAAgD/aF58+1UjjPhCfbD0LNbS+QU3oPThvWb0AAAAAAAAAAI1E7j0fgbo/sAgJP+q7LL6oHsA9vrIUPgAAAAAAAAAApr8tvm4Pk7zO0Va8Tv7tuqsWAD6ysL47AACAPwAAgD8AZlY8u8s7P7gkED2s0A6/Dn27uSiES70AAAAAAAAAAGCsMr5IOMU7hXdqPARedjxiqGq9wAR+PQAAgD8AAIA/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwiGlIwBQ5R0lFKULg==" | |
| }, | |
| "_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": 310, | |
| "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:": "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", | |
| "n": "4", | |
| "start": "0", | |
| "_shape": [], | |
| "dtype": "int64", | |
| "_np_random": "Generator(PCG64)" | |
| }, | |
| "n_envs": 16, | |
| "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, | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| } | |
| } |