A Unified View of Large-scale Zero-sum Equilibrium Computation - Robotics Institute Carnegie Mellon University

A Unified View of Large-scale Zero-sum Equilibrium Computation

Kevin Waugh and J. Andrew (Drew) Bagnell
Workshop Paper, AAAI '15 Workshop on Computer Poker and Imperfect Information, 2015

Abstract

The task of computing approximate Nash equilibria in large zero-sum extensive-form games has received a tremendous amount of attention due mainly to the Annual Computer Poker Competition. Immediately after its inception, two competing and seemingly different approaches emerged — one an application of no-regret online learning, the other a sophisticated gradient method applied to a convex-concave saddle-point formulation. Since then, both approaches have grown in relative isolation with advancements on one side not effecting the other. In this paper, we rectify this by dissecting and, in a sense, unify the two views.

BibTeX

@workshop{Waugh-2015-17186,
author = {Kevin Waugh and J. Andrew (Drew) Bagnell},
title = {A Unified View of Large-scale Zero-sum Equilibrium Computation},
booktitle = {Proceedings of AAAI '15 Workshop on Computer Poker and Imperfect Information},
year = {2015},
month = {January},
}