@inproceedings{970da122e1de4c419dc20a6991f21baa,
title = "Bayesian Quadratic Network Game filters",
abstract = "A repeated network game where agents' utilities depend on information and payoff externalities is considered. Agents play Bayesian Nash Equilibrium strategies with respect to their beliefs on the state of the world and the actions of all other nodes in the network. These beliefs are refined over subsequent stages based on the observed actions of neighboring peers. This paper introduces the Quadratic Network Game (QNG) filter that agents can run locally to update their beliefs, select corresponding optimal actions, and eventually learn a sufficient statistic of the network's state. The QNG filter is demonstrated on a coordination game.",
keywords = "Bayesian Nash Equilibrium, Distributed Signal Processing, Linear Filtering, Network Games",
author = "Ceyhun Eksin and Pooya Molavi and Alejandro Ribeiro and Ali Jadbabaie",
year = "2013",
month = oct,
day = "18",
doi = "10.1109/ICASSP.2013.6638529",
language = "English (US)",
isbn = "9781479903566",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "4589--4593",
booktitle = "2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings",
note = "2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 ; Conference date: 26-05-2013 Through 31-05-2013",
}