IEEE - Institute of Electrical and Electronics Engineers, Inc. - Learning-Rate Adjusting Q-Learning for Prisoner's Dilemma Games

2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology

Author(s): K. Moriyama
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 December 2008
Conference Location: Sydney, NSW, Australia
Conference Date: 9 December 2008
Volume: 2
Page(s): 322 - 325
ISBN (Paper): 978-0-7695-3496-1
DOI: 10.1109/WIIAT.2008.170
Regular:

Many multiagent Q-learning algorithms have been proposed to date, and most of them aim to converge to a Nash equilibrium, which is not desirable in games like the Prisoner's Dilemma (PD). In the... View More

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