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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…
math.OC2021
Policies for the Dynamic Traveling Maintainer Problem with Alerts
Paulo da Costa, Peter Verleijsdonk, Simon Voorberg +4
Downtime of industrial assets such as wind turbines and medical imaging devices comes at a sharp cost. To avoid such downtime costs, companies seek to initiate maintenance just bef…