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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