2 citations · 3 across the 6 of their papers we have counts for
6 papers
Asymmetric Network Games: -Potential Function and Learning
Kiran Rokade, Adit Jain, Francesca Parise +2
In a network game, players interact over a network and the utility of each player depends on his own action and on an aggregate of his neighbours' actions. Many real world networks…
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,…
Distributed Estimation over Directed Graphs Resilient to Sensor Spoofing
Shamik Bhattacharyya, Kiran Rokade, Rachel Kalpana Kalaimani
This paper addresses the problem of distributed estimation of an unknown dynamic parameter by a multi-agent system over a directed communication network in the presence of an adver…
Distributed ADMM with linear updates over directed networks
Kiran Rokade, Rachel Kalpana Kalaimani
We propose a distributed version of the Alternating Direction Method of Multipliers (ADMM) with linear updates for directed networks. We show that if the objective function of the…
Distributed computation of fast consensus weights using ADMM
Kiran Rokade, Rachel Kalpana Kalaimani
We consider the problem of achieving average consensus among multiple agents, where the inter-agent communication network is depicted by a graph. We consider the discrete-time cons…