Cart (Loading....) | Create Account
Close category search window

Sequentially updated Probability Collectives

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Smyrnakis, M. ; Dept. of Math., Univ. of Bristol, Bristol, UK ; Leslie, D.S.

Multi-agent coordination problems can be cast as distributed optimization tasks. Probability collectives (PCs) are techniques that deal with such problems in discrete and continuous spaces. In this paper we are going to propose a new variation of PCs, sequentially updated probability collectives. Our objective is to show how standard techniques from the statistics literature, sequential Monte Carlo methods and kernel regression, can be used as building blocks within PCs instead of the ad hoc approaches taken previously to produce samples and estimate values in continuous action spaces. We test our algorithm in three different simulation scenarios with continuous action spaces. Two classical distributed optimization functions, the three and six dimensional Hartman functions and a vehicle target assignment type game. The results for the Hartman functions were close to the global optimum, and the agents managed to coordinate to the optimal solution of the target assignment game.

Published in:

Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on

Date of Conference:

15-18 Dec. 2009

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.