| Document Date: 2012-04-29 08:04:17
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City Taipei / / Company Multiagent Systems / Intel / / Country Taiwan / Belgium / / / Facility Karl Tuyls Maastricht University / / IndustryTerm classical benchmark reinforcement learning algorithm / lenient vs. nonlenient learning algorithms / multi-agent systems / learning algorithms / / Organization International Foundation for Autonomous Agents / Karl Tuyls Maastricht University / / Person Karl Tuyls / Michael Kaisers / Daan Bloembergen / / Position first player / Sexes General / evolutionary model / and depends on the initialization / second player / / PublishedMedium Journal of Machine Learning Research / Machine Learning / / Technology lenient vs. nonlenient learning algorithms / LFAQ algorithm / LQ algorithm / two learning algorithms / Machine Learning / classical benchmark reinforcement learning algorithm / Lenient Q-learning algorithm / proposed LFAQ algorithm / artificial intelligence / Q-learning algorithm / / URL www.ifaamas.org / /
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Empirical and Theoretical Support for Lenient Learning (Extended Abstract) Daan Bloembergen, Michael Kaisers, Karl Tuyls Maastricht University, P.O. Box 616, 6200MD, Maastricht, The Netherlands {daan.bloembergen, michael