An approach to noncommunicative multiagent coordination in continuous domains
Jelle R. Kok, Matthijs T. J. Spaan, and Nikos Vlassis. An approach to noncommunicative multiagent coordination in continuous domains. In Benelearn 2002: Proceedings of the Twelfth Belgian-Dutch Conference on Machine Learning, pp. 46–52, Utrecht, The Netherlands, December 2002.
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Abstract
Principled game-theoretic techniques exist for solving the problem of action coordination in a group of agents, however they typically suffer from an exponential blowup of the action space when many agents are involved. Coordination graphs (Guestrin et. al., 2002) offer tractable approximations via a context-specific decomposition into smaller coordination problems, and they are based on an iterative communication-based action selection procedure. We propose two extensions that apply when the agents are embedded in a continuous domain and/or communication is unavailable.
BibTeX Entry
@InProceedings{Kok02benelearn,
author = {Jelle R. Kok and Matthijs T. J. Spaan and Nikos
Vlassis},
title = {An approach to noncommunicative multiagent
coordination in continuous domains},
address = {Utrecht, The Netherlands},
booktitle = {Benelearn 2002: Proceedings of the Twelfth
Belgian-Dutch Conference on Machine Learning},
year = {2002},
pages = {46--52},
editor = {Marco Wiering},
month = dec,
postscript = {2002/Kok02benelearn.ps.gz},
pdf = {2002/Kok02benelearn.pdf},
abstract = {Principled game-theoretic techniques exist for
solving the problem of action coordination in a
group of agents, however they typically suffer from
an exponential blowup of the action space when many
agents are involved. Coordination graphs (Guestrin
et. al., 2002) offer tractable approximations via a
context-specific decomposition into smaller
coordination problems, and they are based on an
iterative communication-based action selection
procedure. We propose two extensions that apply when
the agents are embedded in a continuous domain
and/or communication is unavailable.}
}
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