Per-Olof Persson

Playing to Par: Reinforcement Learning for Provably Optimal Quadrilateral Block Decompositions

This work trains a reinforcement learning agent to build decompositions that reach a lower bound on the total vertex irregularity of any all-quadrilateral mesh of a given domain purely based on its topology and corner angles, and overcome this exploration barrier via behaviour cloning on optimal meshes that are trivial...