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Adaptive WIP Control in Industry 4.0 Manufacturing via Deep Reinforcement Learning: A Case Study in Hybrid Control Architectures

Silvestro Vespoli, Giulio Mattera, Guido Guizzi, Liberatina Carmela Santillo, Luigi Nele. Adaptive WIP Control in Industry 4.0 Manufacturing via Deep Reinforcement Learning: A Case Study in Hybrid Control Architectures. In Hamido Fujita, Héctor M. Pérez Meana, Andres Hernandez-Matamoros, editors, New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 23rd International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques (SoMeT_24), Cancun, Mexico, September 24-26, 2024. Volume 389 of Frontiers in Artificial Intelligence and Applications, pages 332-347, IOS Press, 2024. [doi]

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