6 citations · 25 across the 20 of their papers we have counts for
3 papers · 1 filter
Geometric Convergence of Distributed Gradient Play in Games with Unconstrained Action Sets
Tatiana Tatarenko, Angelia Nedich
We provide a distributed algorithm to learn a Nash equilibrium in a class of non-cooperative games with strongly monotone mappings and unconstrained action sets. Each player has ac…
Penalized Push-Sum Algorithm for Constrained Distributed Optimization with Application to Energy Management in Smart Grid
Tatiana Tatarenko, Jan Zimmermann, Volker Willert andJürgen Adamy
We study distributed convex constrained optimization on a time-varying multi-agent network. Each agent has access to its own local cost function, its local constraints, and its ins…
Learning Nash Equilibria in Monotone Games
Tatiana Tatarenko, Maryam Kamgarpour
We consider multi-agent decision making where each agent's cost function depends on all agents' strategies. We propose a distributed algorithm to learn a Nash equilibrium, whereby…