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Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2 (AAMAS'04)
Run the GAMUT: A Comprehensive Approach to Evaluating Game-Theoretic Algorithms
New York City, New York, USA
July 19-July 23
ISBN: 0-7695-2092-8
ASCII Text
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Eugene Nudelman, Jennifer Wortman, Yoav Shoham, Kevin Leyton-Brown, "Run the GAMUT: A Comprehensive Approach to Evaluating Game-Theoretic Algorithms," Autonomous Agents and Multiagent Systems, International Joint Conference on, vol. 2, pp. 880-887, Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2 (AAMAS'04), 2004.
 
 
BibTex
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@article{ 10.1109/AAMAS.2004.10127,
author = {Eugene Nudelman and Jennifer Wortman and Yoav Shoham and Kevin Leyton-Brown},
title = {Run the GAMUT: A Comprehensive Approach to Evaluating Game-Theoretic Algorithms},
journal ={Autonomous Agents and Multiagent Systems, International Joint Conference on},
volume = {2},
year = {2004},
isbn = {0-7695-2092-8},
pages = {880-887},
doi = {http://doi.ieeecomputersociety.org/10.1109/AAMAS.2004.10127},
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 - Run the GAMUT: A Comprehensive Approach to Evaluating Game-Theoretic Algorithms
SN - 0-7695-2092-8
SP880
EP887
A1 - Eugene Nudelman,
A1 - Jennifer Wortman,
A1 - Yoav Shoham,
A1 - Kevin Leyton-Brown,
PY - 2004
KW - null
VL - 2
JA - Autonomous Agents and Multiagent Systems, International Joint Conference on
ER -
 
Eugene Nudelman, Stanford University
Jennifer Wortman, Stanford University
Yoav Shoham, Stanford University
Kevin Leyton-Brown, University of British Columbia
We present GAMUT^1, a suite of game generators designed for testing game-theoretic algorithms. We explain why such a generator is necessary, offer a way of visualizing relationships between the sets of games supported by GAMUT, and give an overview of GAMUT?s architecture. We highlight the importance of using comprehensive test data by benchmarking existing algorithms. We show surprisingly large variation in algorithm performance across different sets of games for two widely-studied problems: computing Nash equilibria and multiagent learning in repeated games.
Citation:
Eugene Nudelman, Jennifer Wortman, Yoav Shoham, Kevin Leyton-Brown, "Run the GAMUT: A Comprehensive Approach to Evaluating Game-Theoretic Algorithms," aamas, vol. 2, pp.880-887, Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2 (AAMAS'04), 2004
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