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Distributed policy search reinforcement learning for job-shop scheduling tasks
Gabel, Thomas; Riedmiller, Martin - In: International journal of production research 50 (2011) 1, pp. 41-61
Persistent link: https://www.econbiz.de/10009526856
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Single-machine group scheduling problem considering learning, forgetting effects and preventive maintenance
Pan, Ershun; Wang, Guina; Xi, Lifeng; Chen, Lu; Han, Xiaole - In: International journal of production research 52 (2014) 19, pp. 5690-5704
Persistent link: https://www.econbiz.de/10010424990
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Collaborative reinforcement learning for a two-robot job transfer flow-shop scheduling problem
Arviv, Kfir; Stern, Helman I.; Edan, Yael - In: International journal of production research 54 (2016) 3/4, pp. 1196-1209
Persistent link: https://www.econbiz.de/10011492125
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Learning to schedule job-shop problems : representation and policy learning using graph neural network and reinforcement learning
Park, Junyoung; Chun, Jaehyeong; Kim, Sang Hun; Kim, … - In: International journal of production research 59 (2021) 11, pp. 3360-3377
Persistent link: https://www.econbiz.de/10012589157
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Intelligent scheduling of discrete automated production line via deep reinforcement learning
Shi, Daming; Fan, Wenhui; Xiao, Yingying; Lin, Tingyu; … - In: International journal of production research 58 (2020) 11, pp. 3362-3380
Persistent link: https://www.econbiz.de/10012265402
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A reinforcement learning based approach for multi-projects scheduling in cloud manufacturing
Chen, Shengkai; Fanga, Shuiliang; Tang, Renzhong - In: International journal of production research 57 (2019) 10, pp. 3080-3098
Persistent link: https://www.econbiz.de/10012193243
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Scheduling problems under learning effects : classification and cartography
Azzouz, Ameni; Ennigrou, Meriem; Said, Lamjed Ben - In: International journal of production research 56 (2018) 4, pp. 1642-1661
Persistent link: https://www.econbiz.de/10011872950
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End-to-end on-line rescheduling from Gantt chart images using deep reinforcement learning
Palombarini, Jorge Andrés; Martínez, Ernesto Carlos - In: International journal of production research 60 (2022) 14, pp. 4434-4463
Persistent link: https://www.econbiz.de/10013499854
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Deep reinforcement learning for solving steelmaking-continuous casting scheduling problems under time-of-use tariffs
Pan, Ruilin; Wang, Qiong; Cao, Jianhua; Zhou, Chunliu - In: International journal of production research 62 (2024) 1/2, pp. 404-420
Persistent link: https://www.econbiz.de/10014455144
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A multi-objective reinforcement learning approach for resequencing scheduling problems in automotive manufacturing systems
Leng, Jinling; Wang, Xingyuan; Wu, Shiping; Jin, Chun; … - In: International journal of production research 61 (2023) 15, pp. 5156-5175
Persistent link: https://www.econbiz.de/10014381906