A Deep-Reinforcement-Learning-Based Digital Twin for Manufacturing Process Optimization
| datacite.relatedItem.firstPage | 38 | |
| datacite.relatedItem.issue | 2 | |
| datacite.relatedItem.relatedIdentifierType | ISSN | |
| datacite.relatedItem.relatedItemIdentifier | 2079-8954 | |
| datacite.relatedItem.relationType | IsPublishedIn | |
| datacite.relatedItem.title | Systems | |
| datacite.relatedItem.volume | 12 | |
| dc.contributor.author | Abdelmoula Khdoudi | |
| dc.contributor.author | Tawfik Masrour | |
| dc.contributor.author | Ibtissam El Hassani | |
| dc.contributor.author | Choumicha El Mazgualdi | |
| dc.date.accessioned | 2025-05-22T12:08:36Z | |
| dc.date.available | 2025-05-22T12:08:36Z | |
| dc.date.issued | 2024 | |
| dc.identifier.doi | https://doi.org/10.3390/systems12020038 | |
| dc.identifier.other | jz000181-0038 | |
| dc.identifier.uri | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/39814 | |
| dc.publisher | MDPI AG | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.ddc | 600 | |
| dc.title | A Deep-Reinforcement-Learning-Based Digital Twin for Manufacturing Process Optimization | |
| dc.type | Article | |
| dcat.distribution.pdf | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/39815 | |
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