146 citations · 380 across the 19 of their papers we have counts for
9 papers · 1 filter
Learning in Time-Varying Monotone Network Games with Dynamic Populations
Feras Al Taha, Kiran Rokade, Francesca Parise
In this paper, we present a framework for multi-agent learning in a nonstationary dynamic network environment. More specifically, we examine projected gradient play in smooth monot…
Gradient Dynamics in Linear Quadratic Network Games with Time-Varying Connectivity and Population Fluctuation
Feras Al Taha, Kiran Rokade, Francesca Parise
In this paper, we consider a learning problem among non-cooperative agents interacting in a time-varying system. Specifically, we focus on repeated linear quadratic network games,…
Estimation of Unknown Payoff Parameters in Large Network Games
Feras Al Taha, Francesca Parise
We consider network games where a large number of agents interact according to a network sampled from a random network model, represented by a graphon. By exploiting previous resul…
Optimal intervention in transportation networks
Leonardo Cianfanelli, Giacomo Como, Asuman Ozdaglar +1
We study a network design problem (NDP) where the planner aims at selecting the optimal single-link intervention on a transportation network to minimize the travel time under Wardr…
Fictitious play in zero-sum stochastic games
Muhammed O. Sayin, Francesca Parise, Asuman Ozdaglar
We present a novel variant of fictitious play dynamics combining classical fictitious play with Q-learning for stochastic games and analyze its convergence properties in two-player…
Optimal dynamic information provision in traffic routing
Emily Meigs, Francesca Parise, Asuman Ozdaglar +1
We consider a two-road dynamic routing game where the state of one of the roads (the "risky road") is stochastic and may change over time. This generates room for experimentation.…
Graphon games: A statistical framework for network games and interventions
Francesca Parise, Asuman Ozdaglar
In this paper, we present a unifying framework for analyzing equilibria and designing interventions for large network games sampled from a stochastic network formation process repr…
A variational inequality framework for network games: Existence, uniqueness, convergence and sensitivity analysis
Francesca Parise, Asuman Ozdaglar
We provide a unified variational inequality framework for the study of fundamental properties of the Nash equilibrium in network games. We identify several conditions on the underl…
Sensitivity analysis for network aggregative games
Francesca Parise, Asuman Ozdaglar
We investigate the sensitivity of the Nash equilibrium of constrained network aggregative games to changes in exogenous parameters affecting the cost function of the players. This…