Novel multi-agent action masked deep reinforcement learning for general industrial assembly lines balancing problems

Efficient planning of activities is essential for modern industrial assembly lines to uphold manufacturing standards, prevent project constraint violations, and achieve cost-effective operations. While exact solutions to such challenges can be obtained through Integer Programming (IP), the dependenc...

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Hlavní autoři:	Ali M. Ali, Luca Tirel, Hashim A. Hashim
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	KeAi Communications Co., Ltd. 2025-12-01
Edice:	Journal of Automation and Intelligence
Témata:	Artificial intelligence in industrial engineering Autonomous decision making Distributed multi-agent learning Reinforcement learning
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2949855425000395
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