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@INPROCEEDINGS{Kemmerling:983329,
author = {Kemmerling, Marco and Frahm, Nils and Idzik, Christian and
Abdelrazeq, Anas and Bailly, David B. and Schmitt, Robert
H.},
title = {{A} {H}ybrid model for hot rolling pass schedule design
using reinforcement learning},
address = {Hamburg},
publisher = {Helmut-Schmidt-Universität},
reportid = {RWTH-2024-03373},
pages = {[1]-10},
year = {2024},
comment = {Machine Learning for Cyber Physical Systems : proceedings
of the Conference ML4CPS 2024 / Oliver Niggemann - Jürgen
Beyerer - Alexander Diedrich - Christian Kühnert -
Alexander Windmann, editors ; Fraunhofer IOSB;
Helmut-Schmidt-Universität, Universität der Bundeswehr
Hamburg},
booktitle = {Machine Learning for Cyber Physical
Systems : proceedings of the Conference
ML4CPS 2024 / Oliver Niggemann -
Jürgen Beyerer - Alexander Diedrich -
Christian Kühnert - Alexander
Windmann, editors ; Fraunhofer IOSB;
Helmut-Schmidt-Universität,
Universität der Bundeswehr Hamburg},
month = {Mar},
date = {2024-03-21},
organization = {7. Machine Learning for Cyber Physical
Systems Conference, Berlin (Germany),
21 Mar 2024 - 22 Mar 2024},
cin = {417510 / 080067 / 523410 / 417200 / 520000},
cid = {$I:(DE-82)417510_20140620$ / $I:(DE-82)080067_20181221$ /
$I:(DE-82)523410_20140620$ / $I:(DE-82)417200_20140620$ /
$I:(DE-82)520000_20140620$},
pnm = {WS-B2.III - Continuous Production (X080067-WS-B2.III) / DFG
project 390621612 - EXC 2023: Internet of Production (IoP)
(390621612)},
pid = {G:(DE-82)X080067-WS-B2.III / G:(GEPRIS)390621612},
typ = {PUB:(DE-HGF)8},
doi = {10.24405/15311},
url = {https://publications.rwth-aachen.de/record/983329},
}
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