File size: 14,084 Bytes
ddb0823 |
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 0x7e057b4097e0>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7e057b409870>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7e057b409900>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7e057b409990>",
"_build": "<function ActorCriticPolicy._build at 0x7e057b409a20>",
"forward": "<function ActorCriticPolicy.forward at 0x7e057b409ab0>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7e057b409b40>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7e057b409bd0>",
"_predict": "<function ActorCriticPolicy._predict at 0x7e057b409c60>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7e057b409cf0>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7e057b409d80>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7e057b409e10>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7e057b59a340>"
},
"verbose": 1,
"policy_kwargs": {},
"num_timesteps": 1015808,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1703656193818701114,
"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": 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:": "gAWV1QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCloCmgOjApfbnBfcmFuZG9tlE51Yi4=",
"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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"
}
} |