A Reinforcement Learning Approach for the Report Scheduling Process Under Multiple Constraints

Date

2018

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Springer Science+Business Media

Abstract

Description

Keywords

Computer science, Scheduling (production processes), Reinforcement learning, Mathematical optimization, Job shop scheduling, Operations research, Dynamic priority scheduling, Distributed computing, Industrial engineering

Citation

DOI

10.1007/978-3-030-01132-1_26

URI

https://doi.org/10.1007/978-3-030-01132-1_26
 https://andeanlibrary.org/handle/123456789/82133

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