1.2k citations · 1.6k across the 35 of their papers we have counts for
4 papers · 1 filter
Learning Hierarchical Control For Multi-Agent Capacity-Constrained Systems
Charlott Vallon, Alessandro Pinto, Bartolomeo Stellato +1
This paper introduces a novel data-driven hierarchical control scheme for managing a fleet of nonlinear, capacity-constrained autonomous agents in an iterative environment. We prop…
Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots
Haimin Hu, Gabriele Dragotto, Zixu Zhang +3
We consider the multi-agent spatial navigation problem of computing the socially optimal order of play, i.e., the sequence in which the agents commit to their decisions, and its as…
CoCo: Online Mixed-Integer Control via Supervised Learning
A. Cauligi, P. Culbertson, E. Schmerling +3
Many robotics problems, from robot motion planning to object manipulation, can be modeled as mixed-integer convex programs (MICPs). However, state-of-the-art algorithms are still u…
Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control
A. Cauligi, P. Culbertson, B. Stellato +3
Mixed-integer convex programming (MICP) has seen significant algorithmic and hardware improvements with several orders of magnitude solve time speedups compared to 25 years ago. De…