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 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/bandit learning, computational learning theory, and decision-theoretic planning. In the summers of 2006-2008, he interned at Google, Yahoo! Research, and AT&T Shannon Labs.