Abstract: This paper addresses the problem of prescribed-time optimal formation control for nonlinear multi-agent systems (MAS) via reinforcement learning (RL). First, a new finite horizon performance ...

Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people connect with each other—to better understand how people interact online.

Abstract: Recently, Optimal Transport has been proposed as a probabilistic framework in Machine Learning for comparing and manipulating probability distributions. This is rooted in its rich history ...