Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets | Paper Citation Record

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Prod Eng Res Devel 14

Reference 1

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This paper cites INFORMS J Comput 3(2):149–156.

Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets INFORMS J Comput 3(2):149–156

Reference 2

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This paper cites Springer, Cham, Switzerland, https://doi.org/10.1007/978-3-030-41544-0.

Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Springer, Cham, Switzerland, https://doi.org/10.1007/978-3-030-41544-0

Reference 3

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This paper cites Applied Sciences 13(6):3615.

Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Applied Sciences 13(6):3615

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Optim Lett 8(4):1417–1431

Reference 5

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This paper cites Springer, Berlin and New York, https://doi.org/10.1007/10.1007/978-3-540-69516-5.

Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Springer, Berlin and New York, https://doi.org/10.1007/10.1007/978-3-540-69516-5

Reference 6

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This paper cites SEMATECH Technical Transfer report 26.

Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets SEMATECH Technical Transfer report 26

Reference 7

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This paper cites Comput Ind Eng 162:107782.

Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Comput Ind Eng 162:107782

Reference 8

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets URL http://www.d-simlab.com/ category/d-simcon/products-d-simcon/forecaster-and-scenario-manager/

Reference 9

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Operations Research Perspectives 9:100249

Reference 10

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Eur J Oper Res 109(1):137–141

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This paper cites In: Proceedings of 35th IEEE Conference on Decision and Control, vol 2.

Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets In: Proceedings of 35th IEEE Conference on Decision and Control, vol 2

Reference 13

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets In: 2009 International Conference on Computers & Industrial Engineering

Reference 14

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets URL https://www.scopus.com, accessed: 2025-01-09

Reference 15

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Unresolved cited work

Reference 16

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This paper cites In: Hammer P, Johnson E, Korte B (eds) Discrete Optimization II, Annals of Discrete Mathematics, vol 5.

Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets In: Hammer P, Johnson E, Korte B (eds) Discrete Optimization II, Annals of Discrete Mathematics, vol 5

Reference 17

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This paper cites The International Journal of Advanced Manufacturing Technology 27(11–12):1163–1169.

Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets The International Journal of Advanced Manufacturing Technology 27(11–12):1163–1169

Reference 18

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Evol Comput 9(2):159–195

Reference 19

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets In: AAAI

Reference 20

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This paper cites https://doi.org/10.1609/AAAI.V30I1.10295.

Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets https://doi.org/10.1609/AAAI.V30I1.10295

Reference 21

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This paper cites Production and Inventory Management Journal 38(4):51–57.

Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Production and Inventory Management Journal 38(4):51–57

Reference 22

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This paper cites Vieweg+Teubner Verlag, Wiesbaden, Germany, https://doi.org/10.1007/ 978-3-8348-1994-9.

Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Vieweg+Teubner Verlag, Wiesbaden, Germany, https://doi.org/10.1007/ 978-3-8348-1994-9

Reference 23

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Eur J Oper Res 263(1):50–61

Reference 24

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This paper cites IEEE Transactions on Semiconductor Manufacturing 33(4):522–.

Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets IEEE Transactions on Semiconductor Manufacturing 33(4):522–

Reference 25

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets In: ASMC

Reference 26

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Constraints 23

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Unresolved cited work

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets PhD thesis, University of California, Berkeley, USA

Reference 29

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets In: ICML, Proceedings of Machine Learning Research, vol 80

Reference 30

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets In: IEA/AIE (2), Lecture Notes in Computer Science, vol 13926

Reference 31

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This paper cites IEEE Trans Autom Sci Eng 19(4):3659–3671.

Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets IEEE Trans Autom Sci Eng 19(4):3659–3671

Reference 32

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets IEEE Trans Cybern 53(10):6663–

Reference 33

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Complex & Intelligent Systems 8(6):4641–4662

Reference 34

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Eng Appl Artif Intell 133:108487

Reference 35

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Neural Comput Appl 35(30):22281–22296

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Journal of Scheduling https://doi.org/10.1002/jos.102

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Adv Eng Softw 69:46–61

Reference 38

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Playing Atari with Deep Reinforcement Learning

Reference 39

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets In: ICML, JMLR Workshop and Conference Proceedings, vol 48

Reference 40

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets J Sched 14(6):583–599

Reference 41

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Springer, Cham, Switzerland, https://doi.org/10.1007/978-1-4614-4472-5

Reference 42

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets IEEE Trans Autom Sci Eng 29 17(3):1420–1431

Reference 43

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets URL https://developers.google.com/ optimization/cp/cp solver

Reference 44

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Unresolved cited work

Reference 45

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This paper cites Springer series in operations research, Springer, New York, NY, USA, https://doi.org/10.

Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Springer series in operations research, Springer, New York, NY, USA, https://doi.org/10

Reference 46

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This paper cites Springer US, New York, NY, USA, https://doi.org/10.1007/978-3-031-05921-6.

Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Springer US, New York, NY, USA, https://doi.org/10.1007/978-3-031-05921-6

Reference 47

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets J Intell Manuf 34(3):1311–1324

Reference 48

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Observation f3de4a40-f64d-45e1-95f5-9bf49ce140fb · outbound

This paper cites Evolution Strategies as a Scalable Alternative to Reinforcement Learning.

Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Evolution Strategies as a Scalable Alternative to Reinforcement Learning

Reference 49

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets URL https://simpy.readthedocs.io/en/ latest/

Reference 50

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets In: ICML, JMLR Workshop and Conference Proceedings, vol 37

Reference 51

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Proximal Policy Optimization Algorithms

Reference 52

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets In: 2024 5th International Conference on Electronic Communication and Artificial Intelligence (ICECAI), pp 713–716, https://doi.org/10.1109/ICECAI62591.2024.10675000

Reference 53

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets IEEE Access 8:106542– 106553

Reference 54

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets In: ASMC

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets CIRP Annals 67(1):511 – 514

Reference 57

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Adap- tive Computation and Machine Learning Series, Massachusetts Institute of Technology Press, Cambridge, Massachusetts

Reference 58

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Eur J Oper Res 64(2):278–285

Reference 59

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets A Reinforcement Learning Environment For Job-Shop Scheduling

Reference 60

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Reference 61

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets In: NIPS, pp 5998–6008

Reference 62

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets In: Proceedings of International Conference on Computers and Industrial Engineering, CIE

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Int J Prod Res 63(8):2871–2888

Reference 64

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets In: ASMC

Reference 65

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Procedia CIRP 72:1264–

Reference 66

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets MIS Q 26(2)

Reference 67

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Expert Syst Appl 35(1-2):485–496

Reference 68

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets J Intell Manuf 31 23(6):2255–2270

Reference 69

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets https://doi.org/10.1109/ NABIC.2009.5393690

Reference 70

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Reference 71

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets In: NeurIPS, pp 11960–11970

Reference 72

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Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Comput Ind Eng 193:110259

Reference 73

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