A Parallel Deep Reinforcement Learning Framework for Controlling Industrial Assembly Lines

Decision-making in a complex, dynamic, interconnected, and data-intensive industrial environment can be improved with the assistance of machine-learning techniques. In this work, a complex instance of industrial assembly line control is formalized and a parallel deep reinforcement learning approach...

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Bibliographic Details
Main Authors: Andrea Tortorelli, Muhammad Imran, Francesco Delli Priscoli, Francesco Liberati
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/11/4/539