Scalability investigation of Double Deep Q Learning for factory layout planning
Author: | Matthias KlarORCiD, Marco Hussong, Patrick Ruediger-FloreORCiD, Li Yi, Moritz F. GlattORCiD, Jan C. Aurich |
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URL: | https://www.sciencedirect.com/science/article/pii/S2212827122002438?via%3Dihub |
DOI: | https://doi.org/10.1016/j.procir.2022.04.027 |
ISSN: | 2212-8271 |
Journal: | Procedia CIRP |
Publisher: | Elsevier |
Document Type: | Research Article |
Language: | English |
Year of first Publication: | 2022 |
Release Date: | 2022/09/01 |
Volume: | 107 |
Page Number: | 6 |
First Page: | 161 |
Last Page: | 166 |
Faculties / Organisational entities: | RPTU in Kaiserslautern / Fachbereich Maschinenbau und Verfahrenstechnik |
Open access state: | Gold Open-Access |
RPTU: | Kaiserslautern |
Research funding: | DFG |
Created at the RPTU: | Yes |