End-to-end on-line rescheduling from Gantt chart images using deep reinforcement learning
Jorge Andrés Palombarini and Ernesto Carlos Martínez
Year of publication: |
2022
|
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Authors: | Palombarini, Jorge Andrés ; Martínez, Ernesto Carlos |
Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 60.2022, 14, p. 4434-4463
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Subject: | Artificial intelligence | deep reinforcement learning | manufacturing systems | real-time rescheduling | uncertainty | Künstliche Intelligenz | Lernen | Learning | Lernprozess | Learning process | Scheduling-Verfahren | Scheduling problem | Produktionssystem | Manufacturing system |
Description of contents: | Description [tandfonline.com] |
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