An asynchronous, forward-backward, distributed generalized Nash equilibrium seeking algorithm

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Cenedese, Carlo, Belgioioso, Giuseppe, Grammatico, Sergio, Cao, Ming
Natura: Preprint
Pubblicazione: 2019
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866917874401017856
author Cenedese, Carlo
Belgioioso, Giuseppe
Grammatico, Sergio
Cao, Ming
author_facet Cenedese, Carlo
Belgioioso, Giuseppe
Grammatico, Sergio
Cao, Ming
contents In this paper, we propose an asynchronous distributed algorithm for the computation of generalized Nash equilibria in noncooperative games, where the players interact via an undirected communication graph. Specifically, we extend the paper "Asynchronous distributed algorithm for seeking generalized Nash equilibria" by Yi and Pavel: we redesign the asynchronous update rule using auxiliary variables over the nodes rather than over the edges. This key modification renders the algorithm scalable for highly interconnected games. The derived asynchronous algorithm is robust against delays in the communication and it eliminates the idle times between computations, hence modeling a more realistic interaction between players with different update frequencies. We address the problem from an operator-theoretic perspective and design the algorithm via a preconditioned forward-backward splitting. Finally, we numerically simulate the algorithm for the Cournot competition in networked markets.
format Preprint
id arxiv_https___arxiv_org_abs_1901_04279
institution arXiv
publishDate 2019
record_format arxiv
spellingShingle An asynchronous, forward-backward, distributed generalized Nash equilibrium seeking algorithm
Cenedese, Carlo
Belgioioso, Giuseppe
Grammatico, Sergio
Cao, Ming
Computer Science and Game Theory
Systems and Control
Optimization and Control
In this paper, we propose an asynchronous distributed algorithm for the computation of generalized Nash equilibria in noncooperative games, where the players interact via an undirected communication graph. Specifically, we extend the paper "Asynchronous distributed algorithm for seeking generalized Nash equilibria" by Yi and Pavel: we redesign the asynchronous update rule using auxiliary variables over the nodes rather than over the edges. This key modification renders the algorithm scalable for highly interconnected games. The derived asynchronous algorithm is robust against delays in the communication and it eliminates the idle times between computations, hence modeling a more realistic interaction between players with different update frequencies. We address the problem from an operator-theoretic perspective and design the algorithm via a preconditioned forward-backward splitting. Finally, we numerically simulate the algorithm for the Cournot competition in networked markets.
title An asynchronous, forward-backward, distributed generalized Nash equilibrium seeking algorithm
topic Computer Science and Game Theory
Systems and Control
Optimization and Control
url https://arxiv.org/abs/1901.04279