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…