File size: 14,039 Bytes
ad6f6ae |
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 0x7d6f857eb010>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7d6f857eb0a0>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7d6f857eb130>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7d6f857eb1c0>",
"_build": "<function ActorCriticPolicy._build at 0x7d6f857eb250>",
"forward": "<function ActorCriticPolicy.forward at 0x7d6f857eb2e0>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7d6f857eb370>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7d6f857eb400>",
"_predict": "<function ActorCriticPolicy._predict at 0x7d6f857eb490>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7d6f857eb520>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7d6f857eb5b0>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7d6f857eb640>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7d6f8f2013c0>"
},
"verbose": 1,
"policy_kwargs": {},
"num_timesteps": 1015808,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1715978245270661116,
"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": 311,
"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:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=",
"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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"
}
} |