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Optimizing the hyper-parameters of deep reinforcement learning for building control

Shuhao Li Shu Su Xiaorui Lin

建筑模拟（英文版）2025，Vol.18Issue(4)：765-789,25.

建筑模拟（英文版）2025，Vol.18Issue(4)：765-789,25.DOI:10.1007/s12273-025-1233-y

Optimizing the hyper-parameters of deep reinforcement learning for building control

Shuhao Li ¹Shu Su ¹Xiaorui Lin²

作者信息

1. Department of Civil Engineering,Southeast University,Nanjing,Jiangsu,China
2. OCT Eastern China Investment Co.,Ltd.,Shanghai,China
折叠

摘要

关键词

hyper-parameter optimization/deep reinforcement learning/building energy system optimal control/BOPTEST/parallelization

Key words

hyper-parameter optimization/deep reinforcement learning/building energy system optimal control/BOPTEST/parallelization

引用本文复制引用

Shuhao Li,Shu Su,Xiaorui Lin..Optimizing the hyper-parameters of deep reinforcement learning for building control[J].建筑模拟（英文版）,2025,18(4):765-789,25.

基金项目

This study was supported by the National Natural Science Foundation of China(No.72371072)and Jiangsu Association for Science&Technology Youth Science&Technology Talents Lifting Project(No.JSTJ-2023-JS001). （No.72371072）

建筑模拟（英文版）

ISSN：1996-3599

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