2 papers
eess.SY2026
Multi-agent Reach-avoid MDP via Potential Games and Low-rank Policy Structure
Adam Casselman, Abraham P. Vinod, Sarah H. Q. Li
We optimize finite horizon multi-agent reach-avoid Markov decision process (MDP) via \emph{local feedback policies}. The global feedback policy solution yields global optimality bu…
cs.MA2026
Virtual Force-Based Routing of Modular Agents on a Graph
Adam Casselman, Manav Vora, Melkior Ornik
Modular vehicles present a novel area of academic and industrial interest in the field of multi-agent systems. Modularity allows vehicles to connect and disconnect with each other…