Transform then Explore: An Effective Technique for Improving Reinforcement Learning Solutions in Combinatorial Optimization Problems
Gauge transformation (GT) is a simple yet effective technique that can be seamlessly integrated into reinforcement learning (RL) models to enable continuous exploration and improvement of solutions for combinatorial optimization problems (COPs).
