Learning Cut Selection Policies via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming

The authors propose a novel hierarchical sequence/set model (HEM) to learn cut selection policies that can effectively tackle the key challenges in cut selection, including determining which cuts to prefer, how many cuts to select, and in what order to add the selected cuts.