Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks

Tom Silver, Rohan Chitnis, Aidan Curtis +3

Real-world planning problems often involve hundreds or even thousands of objects, straining the limits of modern planners. In this work, we address this challenge by learning to pr…