On The Effectiveness Of Bottleneck Information For Solving Job Shop Scheduling Problems Using Deep Reinforcement Learning
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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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
- Event
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Veröffentlichung
- (where)
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Hannover
- (who)
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Gottfried Wilhelm Leibniz Universität Hannover
- (when)
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2023
- Event
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Veröffentlichung
- (where)
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Hannover
- (who)
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Technische Informationsbibliothek (TIB)
- (when)
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2023
- Creator
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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
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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25.03.2025, 1:44 PM CET
Data provider
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Associated
- Waubert de Puiseau, Constantin
- Zey, Lennart
- Demir, Merve
- Tercan, Hasan
- Meisen, Tobias
- Gottfried Wilhelm Leibniz Universität Hannover
- Technische Informationsbibliothek (TIB)
Time of origin
- 2023
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