A multi-action deep reinforcement learning framework for flexible Job-shop scheduling problem. - Kun Lei; Peng Guo; Wenchao Zhao; Yi Wang; Linmao Qian; Xiangyin Meng; Liansheng Tang (Expert Syst. Appl., 2022)

A New Strategy for Disc Cutter Wear Status Perception Using Vibration Detection and Machine Learning. - Xiaobo Pu; Lingxu Jia; Kedong Shang; Lei Chen; Tingting Yang; Liangwu Chen; Libin Gao; Linmao Qian (Sensors, 2022)

Multi-agent deep reinforcement learning for task offloading in group distributed manufacturing systems. - Jianyu Xiong; Peng Guo 003; Yi Wang 110; Xiangyin Meng; Jian Zhang 043; Linmao Qian; Zhenglin Yu (Eng. Appl. Artif. Intell., 2023)

Large-Scale Dynamic Scheduling for Flexible Job-Shop With Random Arrivals of New Jobs by Hierarchical Reinforcement Learning. - Kun Lei; Peng Guo 003; Yi Wang 110; Jian Zhang 043; Xiangyin Meng; Linmao Qian (IEEE Trans. Ind. Informatics, 2024)

Intelligent Scheduling for Group Distributed Manufacturing Systems: Harnessing Deep Reinforcement Learning in Cloud-Edge Cooperation. - Peng Guo 003; Jianyu Xiong; Yi Wang 110; Xiangyin Meng; Linmao Qian (IEEE Trans. Emerg. Top. Comput. Intell., 2024)