Journal Article

FZJ-2025-03081

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Sample-efficient reinforcement learning of Koopman eNMPC

Mayfrank, D.FZJ*RWTH* ; Velioglu, M.FZJ*RWTH* ; Mitsos, A.FZJ*RWTH* ; Dahmen, M. (Corresponding author)FZJ*

2025
Elsevier Science Amsterdam [u.a.]

This record in other databases:  

Please use a persistent id in citations: doi:10.1016/j.compchemeng.2025.109240  doi:10.34734/FZJ-2025-03081

---

Contributing Institute(s):

1. Modellierung von Energiesystemen (ICE-1)

Research Program(s):

1. 1121 - Digitalization and Systems Technology for Flexibility Solutions (POF4-112) (POF4-112)
2. HDS LEE - Helmholtz School for Data Science in Life, Earth and Energy (HDS LEE) (HDS-LEE-20190612) (HDS-LEE-20190612)
3. DFG project G:(GEPRIS)466656378 - Dateneffizientes und physikinformiertes Verstärkungslernen zur Regelung von flüssig-flüssig Trennprozessen (466656378) (466656378)

Appears in the scientific report 2025

---

Database coverage:
; ; ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

---