APPLYING NEURAL COMBINATORIAL OPTIMIZATION TO THE OPTIMAL RETICLE FLOORPLANNING PROBLEM
Journal: International Forum “Microelectronics – 2020”. Joung Scientists Scholarship “Microelectronics – 2020”. XIII International conference «Silicon – 2020». XII young scientists scholarship for silicon nanostructures and devices physics, material science, process and analysis
Year: 2020

This work considers the application of recursive neural combinatorial optimization to the problem of optimal reticle floorplanning. It also proposes the use of reinforcement learning from human preferences as an optimization criterion.