7 citations · 9 across the 3 of their papers we have counts for
4 papers
Distributed Global Optimization by Annealing
Brian Swenson, Soummya Kar, H. Vincent Poor +1
The paper considers a distributed algorithm for global minimization of a nonconvex function. The algorithm is a first-order consensus + innovations type algorithm that incorporates…
On the Exponential Rate of Convergence of Fictitious Play in Potential Games
Brian Swenson, Soummya Kar
The paper studies fictitious play (FP) learning dynamics in continuous time. It is shown that in almost every potential game, and for almost every initial condition, the rate of co…
A Computationally Efficient Implementation of Fictitious Play for Large-Scale Games
B. Swenson, S. Kar, J. Xavier
The paper is concerned with distributed learning and optimization in large-scale settings. The well-known Fictitious Play (FP) algorithm has been shown to achieve Nash equilibrium…
From Weak Learning to Strong Learning in Fictitious Play Type Algorithms
Brian Swenson, Soummya Kar, Joao Xavier
The paper studies the highly prototypical Fictitious Play (FP) algorithm, as well as a broad class of learning processes based on best-response dynamics, that we refer to as FP-typ…