001044192 001__ 1044192 001044192 005__ 20250804202237.0 001044192 0247_ $$2doi$$a10.1016/j.compchemeng.2025.109240 001044192 0247_ $$2ISSN$$a0098-1354 001044192 0247_ $$2ISSN$$a1873-4375 001044192 0247_ $$2datacite_doi$$a10.34734/FZJ-2025-03081 001044192 0247_ $$2WOS$$aWOS:001521405800002 001044192 037__ $$aFZJ-2025-03081 001044192 082__ $$a660 001044192 1001_ $$0P:(DE-Juel1)192151$$aMayfrank, Daniel$$b0$$ufzj 001044192 245__ $$aSample-efficient reinforcement learning of Koopman eNMPC 001044192 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2025 001044192 3367_ $$2DRIVER$$aarticle 001044192 3367_ $$2DataCite$$aOutput Types/Journal article 001044192 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1752743611_2296 001044192 3367_ $$2BibTeX$$aARTICLE 001044192 3367_ $$2ORCID$$aJOURNAL_ARTICLE 001044192 3367_ $$00$$2EndNote$$aJournal Article 001044192 536__ $$0G:(DE-HGF)POF4-1121$$a1121 - Digitalization and Systems Technology for Flexibility Solutions (POF4-112)$$cPOF4-112$$fPOF IV$$x0 001044192 536__ $$0G:(DE-Juel1)HDS-LEE-20190612$$aHDS LEE - Helmholtz School for Data Science in Life, Earth and Energy (HDS LEE) (HDS-LEE-20190612)$$cHDS-LEE-20190612$$x1 001044192 536__ $$0G:(GEPRIS)466656378$$aDFG project G:(GEPRIS)466656378 - Dateneffizientes und physikinformiertes Verstärkungslernen zur Regelung von flüssig-flüssig Trennprozessen (466656378)$$c466656378$$x2 001044192 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de 001044192 7001_ $$0P:(DE-Juel1)191487$$aVelioglu, Mehmet$$b1$$ufzj 001044192 7001_ $$0P:(DE-Juel1)172025$$aMitsos, Alexander$$b2$$ufzj 001044192 7001_ $$0P:(DE-Juel1)172097$$aDahmen, Manuel$$b3$$eCorresponding author$$ufzj 001044192 773__ $$0PERI:(DE-600)1499971-7$$a10.1016/j.compchemeng.2025.109240$$gVol. 201, p. 109240 -$$p109240 -$$tComputers & chemical engineering$$v201$$x0098-1354$$y2025 001044192 8564_ $$uhttps://juser.fz-juelich.de/record/1044192/files/1-s2.0-S0098135425002443-main.pdf$$yOpenAccess 001044192 8767_ $$d2025-08-04$$eHybrid-OA$$jDEAL 001044192 909CO $$ooai:juser.fz-juelich.de:1044192$$pVDB$$pdriver$$pOpenAPC_DEAL$$popen_access$$popenaire$$popenCost$$pdnbdelivery 001044192 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)192151$$aForschungszentrum Jülich$$b0$$kFZJ 001044192 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-Juel1)192151$$aRWTH Aachen$$b0$$kRWTH 001044192 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)191487$$aForschungszentrum Jülich$$b1$$kFZJ 001044192 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-Juel1)191487$$aRWTH Aachen$$b1$$kRWTH 001044192 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)172025$$aForschungszentrum Jülich$$b2$$kFZJ 001044192 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-Juel1)172025$$aRWTH Aachen$$b2$$kRWTH 001044192 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)172097$$aForschungszentrum Jülich$$b3$$kFZJ 001044192 9131_ $$0G:(DE-HGF)POF4-112$$1G:(DE-HGF)POF4-110$$2G:(DE-HGF)POF4-100$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-1121$$aDE-HGF$$bForschungsbereich Energie$$lEnergiesystemdesign (ESD)$$vDigitalisierung und Systemtechnik$$x0 001044192 9141_ $$y2025 001044192 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2024-12-16 001044192 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2024-12-16 001044192 915__ $$0StatID:(DE-HGF)1160$$2StatID$$aDBCoverage$$bCurrent Contents - Engineering, Computing and Technology$$d2024-12-16 001044192 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0 001044192 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2024-12-16 001044192 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bCOMPUT CHEM ENG : 2022$$d2024-12-16 001044192 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2024-12-16 001044192 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2024-12-16 001044192 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess 001044192 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2024-12-16 001044192 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2024-12-16 001044192 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2024-12-16 001044192 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2024-12-16 001044192 915pc $$0PC:(DE-HGF)0000$$2APC$$aAPC keys set 001044192 915pc $$0PC:(DE-HGF)0001$$2APC$$aLocal Funding 001044192 915pc $$0PC:(DE-HGF)0002$$2APC$$aDFG OA Publikationskosten 001044192 915pc $$0PC:(DE-HGF)0125$$2APC$$aDEAL: Elsevier 09/01/2023 001044192 920__ $$lyes 001044192 9201_ $$0I:(DE-Juel1)ICE-1-20170217$$kICE-1$$lModellierung von Energiesystemen$$x0 001044192 9801_ $$aFullTexts 001044192 980__ $$ajournal 001044192 980__ $$aVDB 001044192 980__ $$aUNRESTRICTED 001044192 980__ $$aI:(DE-Juel1)ICE-1-20170217 001044192 980__ $$aAPC