DRESIA: Deep Reinforcement Learning-Enabled Gray Box Approach for Large-Scale Dynamic Cyber-Twin System Simulation

DRESIA: Deep Reinforcement Learning-Enabled Gray Box Approach for Large-Scale Dynamic Cyber-Twin System Simulation

The massive data generated by large-scale dynamic systems makes its optimization facing a tough challenge. Traditional White Box-based methods directly model the internal operating mechanism of the system, so massive amounts of measured data need to be handled, which is costly and time-consuming. Th...

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Bibliographic Details
Main Authors: Zhouyang Lin, Kai Li, Yang Yang, Fanglei Sun, Liantao Wu, Panpan Shi, Song Ci, Yong Zuo
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Open Journal of the Computer Society
Subjects:
Cyber-twin
digital twin
dynamic system
white-box
black-box
gray-box
Online Access:https://ieeexplore.ieee.org/document/9488228/

Internet

https://ieeexplore.ieee.org/document/9488228/

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