Solving Quadratic Assignment Problems with Two-Stage Graph Pointer Networks and Reinforcement Learning

The authors propose a two-stage graph pointer network (GPN) model that can efficiently solve large-scale quadratic assignment problems (QAP) using reinforcement learning.