From Computerworld Australia comes news that researchers at the University of Sydney have developed (and, sadly, patented) an algorithm that its inventors say will schedule jobs in a way that reduces ...
Research-ready implementation of reinforcement learning algorithms for job scheduling optimization. This project demonstrates state-of-the-art RL techniques applied to realistic scheduling problems ...
Abstract: A Dynamic Job-shop Scheduling Problem (DJSP) in 3C (i.e., Computer, Communication, and Consumer Electronics) manufacturing requires efficient resource allocation under dynamically changing ...
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