Computing Approximate Equilibria in Weighted Congestion Games via Best-Responses

Giannakopoulos Y, Noarov G, Schulz AS (2021)

Publication Type: Journal article

Publication year: 2021

Journal

Mathematics of Operations Research INFORMS (Institute for Operations Research and Management Sciences)

Pages Range: 1-22

DOI: 10.1287/moor.2021.1144

Abstract

We present a deterministic polynomial-time algorithm for computing d(d+0(d))-approximate (pure) Nash equilibria in (proportional sharing) weighted congestion games with polynomial cost functions of degree at most d. This is an exponential improvement of the approximation factor with respect to the previously best deterministic algorithm. An appealing additional feature of the algorithm is that it only uses best-improvement steps in the actual game, as opposed to the previously best algorithms, that first had to transform the game itself. Our algorithm is an adaptation of the seminal algorithm by Caragiannis at al. [Caragiannis I, Fanelli A, Gravin N, Skopalik A (2011) Efficient computation of approximate pure Nash equilibria in congestion games. Ostrovsky R, ed. Proc. 52nd Annual Symp. Foundations Comput. Sci. (FOCS) (IEEE Computer Society, Los Alamitos, CA), 532-541; Caragiannis Fanelli A, Gravin N, Skopalik A (2015) Approximate pure Nash equilibria in weighted congestion games: Existence, efficient computation, and structure. ACM Trans. Econom. Comput. 3(1):2:1-2:32.], but we utilize an approximate potential function directly on the original game instead of an exact one on a modified game. A critical component of our analysis, which is of independent interest, is the derivation of a novel bound of [d/W)(d/rho)](d+1) for the price of anarchy (PoA) of p-approximate equilibria in weighted congestion games, where Phi(d,rho) is the Lambert-W function. More specifically, we show that this PoA is exactly equal to Phi(d+1)(d,rho) where Phi(d,rho) is the unique positive solution of the equation rho(x +1)(d) = x(d+1). Our upper bound is derived via a smoothness-like argument, and thus holds even for mixed Nash and correlated equilibria, whereas our lower bound is simple enough to apply even to singleton congestion games.

Authors with CRIS profile

Ioannis Giannakopoulos Juniorprofessur für Algorithmic Game Theory

Involved external institutions

University of Pennsylvania US United States (USA) (US) Technische Universität München (TUM) DE Germany (DE)

How to cite

APA:

Giannakopoulos, Y., Noarov, G., & Schulz, A.S. (2021). Computing Approximate Equilibria in Weighted Congestion Games via Best-Responses. Mathematics of Operations Research, 1-22. https://dx.doi.org/10.1287/moor.2021.1144

MLA:

Giannakopoulos, Yiannis, Georgy Noarov, and Andreas S. Schulz. "Computing Approximate Equilibria in Weighted Congestion Games via Best-Responses." Mathematics of Operations Research (2021): 1-22.

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