500 citations · 2.4k across the 118 of their papers we have counts for
3 papers · 2 filters
Decentralized Convergence to Nash Equilibria in Constrained Deterministic Mean Field Control
Sergio Grammatico, Francesca Parise, Marcello Colombino +1
This paper considers decentralized control and optimization methodologies for large populations of systems, consisting of several agents with different individual behaviors, constr…
On the connection between compression learning and scenario based optimization
Kostas Margellos, Maria Prandini, John Lygeros
We investigate the connections between compression learning and scenario based optimization. We first show how to strengthen, or relax the consistency assumption at the basis of co…
A scenario approach for non-convex control design
Sergio Grammatico, Xiaojing Zhang, Kostas Margellos +2
Randomized optimization is an established tool for control design with modulated robustness. While for uncertain convex programs there exist randomized approaches with efficient sa…