File size: 13,999 Bytes
733a967 |
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 0x7c901a729870>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7c901a729900>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7c901a729990>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7c901a729a20>",
"_build": "<function ActorCriticPolicy._build at 0x7c901a729ab0>",
"forward": "<function ActorCriticPolicy.forward at 0x7c901a729b40>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7c901a729bd0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7c901a729c60>",
"_predict": "<function ActorCriticPolicy._predict at 0x7c901a729cf0>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7c901a729d80>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7c901a729e10>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7c901a729ea0>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7c901a730540>"
},
"verbose": 1,
"policy_kwargs": {},
"num_timesteps": 1015808,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1695541199145559986,
"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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"
}
} |