On The Effectiveness Of Bottleneck Information For Solving Job Shop Scheduling Problems Using Deep Reinforcement Learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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In: Waubert de Puiseau, C.; Zey, L.; Demir, M.; Tercan, H.; Meisen, T.: On The Effectiveness Of Bottleneck Information For Solving Job Shop Scheduling Problems Using Deep Reinforcement Learning. In: Herberger, D.; Hübner, M. (Eds.): Proceedings of the Conference on Production Systems and Logistics: CPSL 2023 - 2. Hannover : publish-Ing., 2023, S. 738-527. DOI: https://doi.org/10.15488/15306
- Ereignis
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Veröffentlichung
- (wo)
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Hannover
- (wer)
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Gottfried Wilhelm Leibniz Universität Hannover
- (wann)
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2023
- Ereignis
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Veröffentlichung
- (wo)
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Hannover
- (wer)
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Technische Informationsbibliothek (TIB)
- (wann)
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2023
- Urheber
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Waubert de Puiseau, Constantin
Zey, Lennart
Demir, Merve
Tercan, Hasan
Meisen, Tobias
- DOI
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10.15488/15306
- URN
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urn:nbn:de:101:1-2023122101193427057435
- Rechteinformation
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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25.03.2025, 13:44 MEZ
Datenpartner
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Beteiligte
- Waubert de Puiseau, Constantin
- Zey, Lennart
- Demir, Merve
- Tercan, Hasan
- Meisen, Tobias
- Gottfried Wilhelm Leibniz Universität Hannover
- Technische Informationsbibliothek (TIB)
Entstanden
- 2023
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