File size: 16,000 Bytes
d7d24f3 25748ec d7d24f3 25748ec d7d24f3 25748ec d7d24f3 25748ec d7d24f3 25748ec d7d24f3 25748ec d7d24f3 |
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 99 100 101 102 |
{
"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 0x78171bf91580>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x78171bf91620>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x78171bf916c0>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x78171bf91760>",
"_build": "<function ActorCriticPolicy._build at 0x78171bf91800>",
"forward": "<function ActorCriticPolicy.forward at 0x78171bf918a0>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x78171bf91940>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x78171bf919e0>",
"_predict": "<function ActorCriticPolicy._predict at 0x78171bf91a80>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x78171bf91b20>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x78171bf91bc0>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x78171bf91c60>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x78171c0cf7c0>"
},
"verbose": 1,
"policy_kwargs": {},
"num_timesteps": 524288,
"_total_timesteps": 500000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1749766557301458531,
"learning_rate": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"tensorboard_log": null,
"_last_obs": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "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"
},
"_last_episode_starts": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gAWVhAAAAAAAAACME251bXB5Ll9jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksQhZSMAUOUdJRSlC4="
},
"_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": 160,
"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/gAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFm51bXB5Ll9jb3JlLm11bHRpYXJyYXmUjAZzY2FsYXKUk5SMBW51bXB5lIwFZHR5cGWUk5SMAmk4lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGJDCAQAAAAAAAAAlIaUUpSMBXN0YXJ0lGgIaA5DCAAAAAAAAAAAlIaUUpSMBl9zaGFwZZQpjAVkdHlwZZRoC4wCaTiUiYiHlFKUKEsDaA9OTk5K/////0r/////SwB0lGKMCl9ucF9yYW5kb22UTnViLg==",
"n": "4",
"start": "0",
"_shape": [],
"dtype": "int64",
"_np_random": null
},
"n_envs": 16,
"lr_schedule": {
":type:": "<class 'function'>",
":serialized:": "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"
}
} |