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Proc. ASME. MSEC2021, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A005, June 21–25, 2021
Paper No: MSEC2021-63522
... intelligence (AI), more and more scholars have begun to apply reinforcement learning (RL) and deep learning (DL) to solve practical problems. This paper focuses on the application of deep reinforcement learning (DRL) in the multi-robotic disassembly line balance problem (MRDLBP). In the MRDLBP problem...
Junying Yao, Yongkui Liu, Tingyu Lin, Xubin Ping, He Xu, Wenxiao Wang, Yingying Xiao, Lin Zhang, Lihui Wang
Proc. ASME. MSEC2021, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A015, June 21–25, 2021
Paper No: MSEC2021-63974
..., industrial robots be- For the past few years, training robots to enable them to come increasingly intelligent . In particular, deep rein- learn various manipulative skills using deep reinforcement forcement learning (DRL) has been widely used to train ro- learning (DRL) has arisen wide attention. However...