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Lihong Li is a Research Scientist in the machine learning group at Yahoo! Research. He obtained a PhD degree in Computer Science from the Rutgers University, advised by Prof. Michael Littman. Before that, he obtained a MSc degree from the University of Alberta, advised by Profs Vadim Bulitko and Russell Greiner, and BE from the Tsinghua University. His main research interests are in reinforcement learning and machine learning, including: exploration/exploitation tradeoff, value-function approximation, feature selection for reinforcement learning, online learning, computational learning theory, and decision-theoretic planning. He is a co-winner of an ICML'08 Best Student Paper Award, and has reviewed for a number of leading conferences (such as AAAI, COLT, ECML, ICML, IJCAI, NIPS, and UAI) and journals (AIJ, DMKD, JAIR, JMLR, MLJ, NeCo, and a few IEEE Transactions). In the summers of 2006-2008, he interned at Google, Yahoo! Research, and AT&T Shannon Labs, respectively.
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