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20222026
most citedEfficient safe learning for controller tuning with experimental validation

1 citations · 4 across the 27 of their papers we have counts for

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cs.AI2026

Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job Arrivals

Yu Tang, Muhammad Zakwan, Efe Balta +2

The Flexible Job Shop Scheduling Problem (FJSP) is the optimal allocation of a set of jobs to machines. Two primary challenges persist in FJSP: the unpredictable arrival of future…