Digital twin driven dynamic scheduling of discrete manufacturing workshop with transportation resource constraint using multi-agent deep reinforcement learning

High-Dimensional Continuous Control Using Generalized Advantage Estimation

John Schulman, Philipp Moritz, Sergey Levine et al. · arXiv (Cornell University) · 2015 · 1.8K citations · Full text

Computing, Computer Science, Robotics Engineering +17

Make more digital twins

Fei Tao, Qinglin Qi · Nature · 2019 · 755 citations · Full text

Business, Information Systems, Information Technology +7

Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning

Wen Song, Xinyang Chen, Qiqiang Li et al. · IEEE Transactions on Industrial Informatics · 2022 · 433 citations · Full text

Computing, Computer Science, Industrial Engineering +17

Digital Twin Enhanced Dynamic Job-Shop Scheduling

Meng Zhang, Fei Tao, A.Y.C. Nee · Journal of Manufacturing Systems · 2020 · 320 citations

Management, Industrial Engineering, Manufacturing Engineering +9

A multi-action deep reinforcement learning framework for flexible Job-shop scheduling problem

Kun Lei, Peng Guo, Wenchao Zhao et al. · Expert Systems with Applications · 2022 · 314 citations

Management, Industrial Engineering, Machine Learning +12