My research interests lie in the interface between machine learning, statistics and optimization. The primary goal of my research is to design efficient learning algorithms for large-scale decision making problems that arise in reinforcement learning and stochastic games, with both statistical and computational guarantees. In addition, I am also interested in the applications of reinforcement learning such as computer games and robotics.