146 citations · 380 across the 19 of their papers we have counts for
8 papers · 1 filter
Accelerated consensus in multi-agent networks via memory of local averages
Aditya Bhaskar, Shriya Rangarajan, Vikram Shree +2
Classical mathematical models of information sharing and updating in multi-agent networks use linear operators. In the paradigmatic DeGroot model, agents update their states with l…
Optimal adaptive testing for epidemic control: combining molecular and serology tests
D. Acemoglu, A. Fallah, A. Giometto +4
The COVID-19 crisis highlighted the importance of non-medical interventions, such as testing and isolation of infected individuals, in the control of epidemics. Here, we show how t…
On the Efficiency of Nash Equilibria in Aggregative Charging Games
Dario Paccagnan, Francesca Parise, John Lygeros
Several works have recently suggested to model the problem of coordinating the charging needs of a fleet of electric vehicles as a game, and have proposed distributed algorithms to…
A distributed algorithm for average aggregative games with coupling constraints
Francesca Parise, Basilio Gentile, John Lygeros
We consider the framework of average aggregative games, where the cost function of each agent depends on his own strategy and on the average population strategy. We focus on the ca…
Computing the projected reachable set of switched affine systems: an application to systems biology
Francesca Parise, Maria Elena Valcher, John Lygeros
A fundamental question in systems biology is what combinations of mean and variance of the species present in a stochastic biochemical reaction network are attainable by perturbing…
Nash and Wardrop equilibria in aggregative games with coupling constraints
Dario Paccagnan, Basilio Gentile, Francesca Parise +2
We consider the framework of aggregative games, in which the cost function of each agent depends on his own strategy and on the average population strategy. As first contribution,…
Network Aggregative Games and Distributed Mean Field Control via Consensus Theory
Francesca Parise, Sergio Grammatico, Basilio Gentile +1
We consider network aggregative games to model and study multi-agent populations in which each rational agent is influenced by the aggregate behavior of its neighbors, as specified…
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…