activity
20102023
collaborators
Showing 2020Show all

6 papers · 1 filter

eess.SY2020

Imitation dynamics in population games on community networks

Giacomo Como, Fabio Fagnani, Lorenzo Zino

We study the asymptotic behavior of deterministic, continuous-time imitation dynamics for population games over networks. The basic assumption of this learning mechanism -- encompa…

cs.GT2020

Optimal Targeting in Super-Modular Games

Giacomo Como, Stéphane Durand, Fabio Fagnani

We study an optimal targeting problem for super-modular games with binary actions and finitely many players. The considered problem consists in the selection of a subset of players…

eess.SP2020

Data Augmentation of IMU Signals and Evaluation via a Semi-Supervised Classification of Driving Behavior

Amani Jaafer, Gustav Nilsson, Giacomo Como

Over the past years, interest in classifying drivers' behavior from data has surged. Such interest is particularly relevant for car insurance companies who, due to privacy constrai…

cs.GT2020

Robustness of Nash Equilibria in Network Games

Laura Arditti, Giacomo Como, Fabio Fagnani +1

We analyze the robustness of (pure strategy) Nash equilibria for network games against perturbations of the players' utility functions. We first derive a simple characterization of…

cs.GT2020

Graphical Games and Decomposition

Laura Arditti, Giacomo Como, Fabio Fagnani

We consider graphical games as introduced by Kearns et al. (2001). First we analyse the interaction of graphicality with a notion of strategic equivalence of games, providing a min…

cs.GT2020

Separable games

Laura Arditti, Giacomo Como, Fabio Fagnani

We present the notion of separable game with respect to a forward directed hypergraph (FDH-graph), which refines and generalizes that of graphical game. First, we show that there e…