Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions

Fuente: arXiv

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Bibliographic Details
Main Authors:	Khadivi, Maziyar, Charter, Todd, Yaghoubi, Marjan, Jalayer, Masoud, Ahang, Maryam, Shojaeinasab, Ardeshir, Najjaran, Homayoun
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Neural and Evolutionary Computing
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2310.03195