Tom Wullner

Tom works on how multi-agent systems can plan and coordinate at scale, with a focus on combining learned guidance with classical search. His work draws on planning, optimization, and machine learning to make search-based planners faster and more adaptive, particularly for large teams of agents that must coordinate with one another.