activity
20132023
most citedFinding Mixed Nash Equilibria of Generative Adversarial Networks

16 citations · 73 across the 18 of their papers we have counts for

collaborators
Showing cs.GTShow all

2 papers · 1 filter

cs.GT2022

A unified stochastic approximation framework for learning in games

Panayotis Mertikopoulos, Ya-Ping Hsieh, Volkan Cevher

We develop a flexible stochastic approximation framework for analyzing the long-run behavior of learning in games (both continuous and finite). The proposed analysis template incor…

cs.GT2018

Let's be Honest: An Optimal No-Regret Framework for Zero-Sum Games

Ehsan Asadi Kangarshahi, Ya-Ping Hsieh, Mehmet Fatih Sahin +1

We revisit the problem of solving two-player zero-sum games in the decentralized setting. We propose a simple algorithmic framework that simultaneously achieves the best rates for…