| Document Date: 2007-01-31 13:20:41
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City New York / Berlin / Acapulco / Los Alamitos / Honolulu / / Company Neural Networks / MIT Press / Multiagent Systems / Multi-Agent Systems / ACM Press / John Wiley & Sons Inc. / VF / IEEE Computer Society Press / / Country Mexico / / Currency USD / / / Facility International Computer Science Institute / Computer Sciences The University of Texas / / IndustryTerm autonomic systems / probabilistic autonomic computing domain / policy search algorithm / machine learning tools / policy search method / policy search methods / target network / base learning algorithm / base policy search method / Transfer learning algorithms / genetic algorithms / policy search / neuroevolutionary systems / policy search representations / autonomic computing task / / Organization University of Texas at Austin / National Science Foundation / International Computer Science Institute / MIT / / Person Joseph Reisinger / Morgan Kaufmann / Cynthia Matuszek / Nick Jong / Peter Stone / Keeper / Job Type / Job Scheduling / Shimon Whiteson / / Position researcher / candidate for TVITM - PS / player / designer / additional player / representative / scheduler / / Product JRip / / ProvinceOrState Hawaii / New York / California / / PublishedMedium Machine Learning / Journal of Machine Learning Research / / SportsEvent Soccer World Cup IX / / Technology base learning algorithm / Transfer Functional Algorithm / Machine Learning / RL algorithm / policy search algorithm / neural network / artificial intelligence / learning algorithms / Data Mining / base RL algorithm / /
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In The Autonomous Agents and Multi-Agent Systems Conference (AAMAS-07), Honolulu, Hawaii, May[removed]Transfer via Inter-Task Mappings in Policy Search Reinforcement Learning Matthew E. Taylor, Shimon Whiteson, and Peter S