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장영재
Associate Professor
한국과학기술원 공과대학 산업및시스템공학과
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논문[22]
#22. Practical Q-Learning-Based Route-Guidance and Vehicle Assignment for OHT Systems in Semiconductor Fabs
2022.8 · IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING
(DOI) https://doi.org/10.1109/TSM.2022.3168702
#21. A Reinforcement Learning Approach for Rebalancing Electric Vehicle Sharing Systems
2022.7 · IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(DOI) https://doi.org/10.1109/TITS.2021.3085217
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프로시딩[11]
#11. A dynamic programming-based heuristic algorithm for a flexible job shop scheduling problem of a matrix system in automotive industry
2022.8.20:777-782
(DOI) https://doi.org/10.1109/CASE49997.2022.9926440
#10. Q-learning-based route-guidance and vehicle assignment for OHT systems in semiconductor fabs
2020.8.24:1-6
(DOI) https://doi.org/10.1109/ASMC49169.2020.9185357
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발표[118]
#118. ROBOT COLLABORATION INTELLIGENCE WITH AI
Winter Simulation Conference
2020.12
#117. Q-learning-based route-guidance and vehicle assignment for OHT systems in semiconductor fabs
31st Annual SEMI Advanced Semiconductor Manufacturing Conference, ASMC 2020
2020.8
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특허[18]
#18. 최적 정보를 이용한 최적 운행 정보 결정 방법 및 장치
[출원] 10-2012-0012010
대한민국
#17. 최적 운행 정보 결정 방법 및 장치
[출원] 10-2012-0012015
대한민국
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