Reinforcement Learning for Scalable Logic Optimization with Graph Neural Networks

Xavier Timoneda, Lukas Cavigelli

Logic optimization is an NP-hard problem commonly approached through hand-engineered heuristics. We propose to combine graph convolutional networks with reinforcement learning and…