Brad Knox

Brad Knox is a Research Fellow with a diverse research background encompassing machine learning, human-computer interaction, and computational models of human behavior for cognitive science research. His research primarily focuses on the human side of reinforcement learning, including pioneering work on human-in-the-loop reinforcement learning that earned him the 2012 best dissertation award for the UT Austin Department of Computer Science.