Deep reinforcement learning for semiconductor production scheduling-Reference-Cited by-同舟云学术

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Deep reinforcement learning for semiconductor production scheduling

Published:2018-04 Issue: Volume: Page:
ISSN:
Container-title:2018 29th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC)
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Author:

Waschneck Bernd,Reichstaller Andre,Belzner Lenz,Altenmuller Thomas,Bauernhansl Thomas,Knapp Alexander,Kyek Andreas

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8370149/8373135/08373191.pdf?arnumber=8373191

Cited by 92 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A recurrent reinforcement learning strategy for optimal scheduling of partially observable job-shop and flow-shop batch chemical plants under uncertainty;Computers & Chemical Engineering;2024-09

2. Design patterns of deep reinforcement learning models for job shop scheduling problems;Journal of Intelligent Manufacturing;2024-07-20

3. A Reinforcement Learning Model for Dispatching System through Agent-based Simulation;Journal of Society of Korea Industrial and Systems Engineering;2024-06-30

4. Dynamic Job-Shop Scheduling via Graph Attention Networks and Deep Reinforcement Learning;IEEE Transactions on Industrial Informatics;2024-06

5. Optimization of laser annealing parameters based on bayesian reinforcement learning;Journal of Intelligent Manufacturing;2024-04-15

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