File size: 14,144 Bytes
1b6c984 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 | {
"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 0x7ab1fdb73240>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7ab1fdb732e0>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7ab1fdb73380>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7ab1fdb73420>",
"_build": "<function ActorCriticPolicy._build at 0x7ab1fdb734c0>",
"forward": "<function ActorCriticPolicy.forward at 0x7ab1fdb73560>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7ab1fdb73600>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7ab1fdb736a0>",
"_predict": "<function ActorCriticPolicy._predict at 0x7ab1fdb73740>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7ab1fdb737e0>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7ab1fdb73880>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7ab1fdb73920>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7ab1fdfe0840>"
},
"verbose": 1,
"policy_kwargs": {},
"num_timesteps": 1015808,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1748882391329730500,
"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:": "gAWVhAAAAAAAAACME251bXB5Ll9jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWEAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksQhZSMAUOUdJRSlC4="
},
"_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": 248,
"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:": "gAWV3AAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFm51bXB5Ll9jb3JlLm11bHRpYXJyYXmUjAZzY2FsYXKUk5SMBW51bXB5lIwFZHR5cGWUk5SMAmk4lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGJDCAQAAAAAAAAAlIaUUpSMBXN0YXJ0lGgIaA5DCAAAAAAAAAAAlIaUUpSMBl9zaGFwZZQpjAVkdHlwZZRoDowKX25wX3JhbmRvbZROdWIu",
"n": "4",
"start": "0",
"_shape": [],
"dtype": "int64",
"_np_random": null
},
"n_envs": 16,
"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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"
}
} |