Gergely Neu is a research assistant professor at the Pompeu Fabra University, Barcelona, Spain. He has previously worked with the SequeL team of INRIA Lille, France and the RLAI group at the University of Alberta, Edmonton, Canada. He earned his PhD degree in 2013 from the Technical University of Budapest, where his advisors were András György, Csaba Szepesvári, and László Györfi. His main research interests are in machine learning theory, including reinforcement learning and online learning with limited feedback and very large action sets.
- Theory of Reinforcement Learning, Fall 2020. Visiting Scientist.