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Kai Ye is a PhD student at the London School of Economics, focusing on offline reinforcement learning and Confounded Partially Observable Markov Decision Processes (POMDPs). With a strong background in high-dimensional statistics, Kai has developed substantial research experience in areas such as vector databases, nearest neighbor search, graph indexing, and high-dimensional data distributions. Prior to the PhD program, Kai completed an MSc in Applicable Mathematics at the London School of Economics and a BSc in Mathematics with Finance from Xi'an Jiaotong-Liverpool University.
Department of Economics