Continual Reinforcement Learning for Digital Twin Synchronization Optimization

Haonan Tong; Mingzhe Chen; Jun Zhao; Ye Hu; Zhaohui Yang; Yuchen Liu; Changchuan Yin

doi:10.1109/TMC.2025.3546507

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Continual Reinforcement Learning for Digital Twin Synchronization Optimization

Magazine article

Peer reviewed

Continual Reinforcement Learning for Digital Twin Synchronization Optimization

Haonan Tong, Mingzhe Chen, Jun Zhao, Ye Hu, Zhaohui Yang, Yuchen Liu and Changchuan Yin

IEEE transactions on mobile computing, Vol.24(8), pp.6843-6857

2025-08-01

DOI: https://doi.org/10.1109/TMC.2025.3546507

Appears in College Of Engineering - Latest Publications

Abstract

constrained Markov decision process

continual reinforcement learning

Digital twin

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Title: Continual Reinforcement Learning for Digital Twin Synchronization Optimization
Creators: Haonan Tong - Beijing University of Posts and Telecommunications
Mingzhe Chen - University of Miami
Jun Zhao - Nanyang Technological University
Ye Hu - University of Miami
Zhaohui Yang - Zhejiang University
Yuchen Liu - North Carolina State University
Changchuan Yin - Beijing University of Posts and Telecommunications
Publication Details: IEEE transactions on mobile computing, Vol.24(8), pp.6843-6857
Number of pages: 15
Grant note: K2023QA0AL02 / Fundamental Research Funds for the Central Universities (501100012226) 2023QNRC001 / China Academy of Space Technology (http://data.elsevier.com/vocabulary/SciValFunders/501100010574) L223027 / Natural Science Foundation of Beijing Municipality (501100004826) Ministry of Education - Singapore (http://data.elsevier.com/vocabulary/SciValFunders/501100001459) Key Research and Development Program of Zhejiang Province (http://data.elsevier.com/vocabulary/SciValFunders/100022963) 2023YFB2904804 / National Key Research and Development Program of China (http://data.elsevier.com/vocabulary/SciValFunders/501100012166) China Academy of Space Technology (http://data.elsevier.com/vocabulary/SciValFunders/501100010574) CX2021114 / Beijing University of Posts and Telecommunications (http://data.elsevier.com/vocabulary/SciValFunders/501100002766) 62471056 / National Natural Science Foundation of China (501100001809) L223027 / Natural Science Foundation of Beijing Municipality (http://data.elsevier.com/vocabulary/SciValFunders/501100004826)
Academic Unit: CoE - Industrial Engineering; CoE - Electrical & Computer Engineering; College of Engineering
Language: English
Resource Type: Magazine article
Record Identifier: 991032796049002976