Csaba Szepesvari

Senior Staff Research Scientist at Google DeepMindProfessor at University of Alberta

Szepesvári helped build the mathematical foundations of reinforcement learning. His work explains how an agent can balance trying unfamiliar actions with using what it already knows, especially when feedback is limited, and has shaped widely used methods for planning and decision-making.