Sanghyun Cho

Towards Generalizable Multi-Policy Optimization with Self-Evolution for Job Scheduling

Reinforcement Learning (RL) has shown promising results in solving Job Scheduling Problems (JSPs), automatically deriving powerful dispatching rules from data without relying on expert knowledge. However, most RL-based methods train only a single decision-maker, which limits exploration capability a…