Reinforcement Learning for Stochastic Cooperative Multi-Agent Systems

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Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3 (AAMAS'04)

Reinforcement Learning for Stochastic Cooperative Multi-Agent Systems (PDF)

New York City, New York, USA

July 19-July 23

ISBN: 0-7695-2092-8

	ASCII Text	x
	Martin Lauer, Martin Riedmiller, "Reinforcement Learning for Stochastic Cooperative Multi-Agent Systems," Autonomous Agents and Multiagent Systems, International Joint Conference on, vol. 3, pp. 1516-1517, Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3 (AAMAS'04), 2004.

	BibTex	x
	@article{ 10.1109/AAMAS.2004.10253, author = {Martin Lauer and Martin Riedmiller}, title = {Reinforcement Learning for Stochastic Cooperative Multi-Agent Systems}, journal ={Autonomous Agents and Multiagent Systems, International Joint Conference on}, volume = {3}, year = {2004}, isbn = {0-7695-2092-8}, pages = {1516-1517}, doi = {http://doi.ieeecomputersociety.org/10.1109/AAMAS.2004.10253}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Autonomous Agents and Multiagent Systems, International Joint Conference on TI - Reinforcement Learning for Stochastic Cooperative Multi-Agent Systems SN - 0-7695-2092-8 SP1516 EP1517 A1 - Martin Lauer, A1 - Martin Riedmiller, PY - 2004 KW - null VL - 3 JA - Autonomous Agents and Multiagent Systems, International Joint Conference on ER -

Martin Lauer, University of Osnabrück

Martin Riedmiller, University of Osnabrück

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AAMAS.2004.10253

We present a distributed variant of Q-learning that allows to learn the optimal cost-to-go function in stochastic cooperative multi-agent domains without communication between the agents.

Citation:

Martin Lauer, Martin Riedmiller, "Reinforcement Learning for Stochastic Cooperative Multi-Agent Systems," aamas, vol. 3, pp.1516-1517, Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3 (AAMAS'04), 2004

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