| Document Date: 2012-04-29 08:04:49
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City Richland / New York / / Company Cambridge University Press / Mathematical Biosciences / MIT Press / Dynamical Systems / Multiagent Systems / Multi-Agent Systems / / Country United States / / IndustryTerm mobile phone networks / reinforcement learning algorithms / policy gradient learning algorithm / ubiquitous applications / learning algorithms / / Organization Cambridge University / MIT / Artificial Copyright Intelligence / Association for the Advancement / International Foundation for Autonomous Agents / / Person Gomes / Morgan Kaufman / Nash Equilibria / Karl Tuyls / TAL N ETHERLANDS / Mansour / Morgan Kaufmann / / Position representative / General / row player / player / column player / / Product Pentax K-x Digital Camera / / PublishedMedium Machine Learning / Journal of Economic Theory / / Technology cellular telephone / reinforcement learning algorithms / thermodynamics / artificial intelligence / Machine Learning / simulation / policy gradient learning algorithm / / URL www.aaai.org / /
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FAQ-learning in Matrix Games: Demonstrating Convergence near Nash Equilibria, and Bifurcation of Attractors in the Battle of Sexes Michael Kaisers, Karl Tuyls Maastricht University P.O. BoxMD Maastricht, The Ne