2 papers
cs.MA2024
HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding
Huijie Tang, Federico Berto, Zihan Ma +3
Large-scale multi-agent pathfinding (MAPF) presents significant challenges in several areas. As systems grow in complexity with a multitude of autonomous agents operating simultane…
math.NA2023
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks
Chuanbo Hua, Federico Berto, Michael Poli +2
While complex simulations of physical systems have been widely used in engineering and scientific computing, lowering their often prohibitive computational requirements has only re…