File size: 14,005 Bytes
c1484df |
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 0x7fcb616dad40>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fcb616dadd0>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fcb616dae60>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fcb616daef0>",
"_build": "<function ActorCriticPolicy._build at 0x7fcb616daf80>",
"forward": "<function ActorCriticPolicy.forward at 0x7fcb616db010>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7fcb616db0a0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fcb616db130>",
"_predict": "<function ActorCriticPolicy._predict at 0x7fcb616db1c0>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fcb616db250>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fcb616db2e0>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7fcb616db370>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7fcb616dd800>"
},
"verbose": 1,
"policy_kwargs": {},
"num_timesteps": 1015808,
"_total_timesteps": 1000000.0,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1685812550426451416,
"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": 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:": "gAWV1QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCloCmgOjApfbnBfcmFuZG9tlE51Yi4=",
"n": "4",
"start": "0",
"_shape": [],
"dtype": "int64",
"_np_random": null
},
"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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"
}
} |