Neural-Guided Runtime Prediction of Planners for Improved Motion and Task Planning with Graph Neural Networks
Neural-Guided Runtime Prediction of Planners for Improved Motion and Task Planning with Graph Neural Networks
The past decade has amply demonstrated the remarkable functionality that can be realized by learning complex input/output relationships. Algorithmically, one of the most important and opaque relationships is that between a problem's structure and an effective solution method. Here, we quantitatively connect the structure of a planning problem to the …