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20222026
most citedOnline Control of Adaptive Large Neighborhood Search using Deep Reinforcement Learning

19 citations · 19 across the 5 of their papers we have counts for

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math.OC2026

When does learning pay off? A study on DRL-based dynamic algorithm configuration for carbon-aware scheduling

Andrea Mencaroni, Robbert Reijnen, Yingqian Zhang +1

Deep reinforcement learning (DRL) has recently emerged as a promising tool for Dynamic Algorithm Configuration (DAC), enabling evolutionary algorithms to adapt their parameters onl…