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Reinforcement Learning for Stochastic Cooperative Multi-Agent Systems
New York City, New York, USA July 19-July 23
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AAMAS.2004.10253Third International Joint Conference ...
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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
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@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
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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
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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