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Out-of-order execution enabled deep reinforcement learning for dynamic additive manufacturing scheduling.

Mingyue SunJiyuchen DingZhiheng ZhaoJian ChenGeorge Q. HuangLihui Wang
Published in: Robotics Comput. Integr. Manuf. (2025)
Keyphrases
  • reinforcement learning
  • scheduling problem
  • real time
  • neural network
  • machine learning
  • learning algorithm
  • learning process
  • dynamic environments
  • resource allocation
  • manufacturing process