% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Paranjape:1014428,
author = {Paranjape, Akshay and Quader, Nahid and Uhlmann, Lars Heinz
and Berkels, Benjamin and Wolfschläger, Dominik and
Schmitt, Robert H. and Bergs, Thomas},
title = {{R}einforcement {L}earning {A}gent for {M}ulti-{O}bjective
{O}nline {P}rocess {P}arameter {O}ptimization of
{M}anufacturing {P}rocesses},
journal = {Applied Sciences},
volume = {15},
number = {13},
issn = {2076-3417},
address = {Basel},
publisher = {MDPI},
reportid = {RWTH-2025-06076},
pages = {7279},
year = {2025},
cin = {112430 / 110000 / 417410 / 417400 / 080003 / 053200},
ddc = {600},
cid = {$I:(DE-82)112430_20140620$ / $I:(DE-82)110000_20140620$ /
$I:(DE-82)417410_20140620$ / $I:(DE-82)417400_20240301$ /
$I:(DE-82)080003_20140620$ / $I:(DE-82)053200_20140620$},
pnm = {BMBF 02P20A073 - Industrielles Reinforcement Learning zur
Qualitätsregelung von Massivumformprozessen (02P20A073)},
pid = {G:(BMBF)02P20A073},
typ = {PUB:(DE-HGF)16 / PUB:(DE-HGF)7},
UT = {WOS:001536554200001},
doi = {10.3390/app15137279},
url = {https://publications.rwth-aachen.de/record/1014428},
}