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Reinforcement learning-based approach for optimizing solvent-switch processes.

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Title: Reinforcement learning-based approach for optimizing solvent-switch processes.
Authors: Elmaz, Furkan1, furkan.elmaz@uantwerpen.be, Di Caprio, Ulderico2, ulderico.dicaprio@kuleuven.be, Wu, Min2, min.wu@kuleuven.be, Wouters, Yentl3, ywouters@ITS.JNJ.com, Van Der Vorst, Geert3, gvdvors1@its.jnj.com, Vandervoort, Niels3, nvanderv@its.jnj.com, Anwar, Ali1, ali.anwar@uantwerpen.be, Leblebici, M. Enis2, muminenis.leblebici@kuleuven.be, Hellinckx, Peter4, peter.hellinckx@uantwerpen.be, Mercelis, Siegfried1, siegfried.mercelis@uantwerpen.be
Source: Computers & Chemical Engineering; Aug2023, Vol. 176, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 164256885
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=164256885
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      – Type: doi
        Value: 10.1016/j.compchemeng.2023.108310
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        Text: English
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            – D: 01
              M: 08
              Text: Aug2023
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              Y: 2023
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