File size: 14,063 Bytes
9195115 2f8096e 9195115 2f8096e 9195115 e82121c 9195115 e82121c 9195115 e82121c 9195115 e82121c 9195115 e82121c 9195115 e82121c 9195115 2f8096e 34c4d86 9195115 2f8096e 34c4d86 9195115 2f8096e 9195115 2f8096e 9195115 |
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 0x7f0806e00a60>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f0806e00af0>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f0806e00b80>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f0806e00c10>",
"_build": "<function ActorCriticPolicy._build at 0x7f0806e00ca0>",
"forward": "<function ActorCriticPolicy.forward at 0x7f0806e00d30>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7f0806e00dc0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f0806e00e50>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f0806e00ee0>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f0806e00f70>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f0806e03040>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f0806e030d0>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7f0806e7e4e0>"
},
"verbose": 1,
"policy_kwargs": {},
"num_timesteps": 1015808,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1690722383945666797,
"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": 252,
"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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"
}
} |