2018 AI World Cup Lecture on AI Flagship 1
” Sample-efficient deep reinforcement learning “
Prof. Sae-Young Chung
Sae-Young Chung received the B.S. and M.S. degrees in electrical engineering from Seoul National University, Seoul, South Korea, in 1990 and 1992, respectively and the Ph.D. degree in electrical engineering and computer science from the Massachusetts Institute of Technology, Cambridge, MA, USA, in 2000. From September 2000 to December 2004, he was with Airvana, Inc., Chelmsford, MA, USA. Since January 2005, he has been with the School of Electrical Engineering, KAIST, Daejeon, South Korea, where he is currently Professor. He served as Associate Editor for the IEEE Transactions on Communications from 2009 to 2013 and for the IEEE Transactions on Information Theory from 2014 to 2016. He served as the Technical Program Co-Chair of the 2014 IEEE International Symposium on Information Theory and as the Technical Program Co-Chair of the 2015 IEEE Information Theory Workshop. His research interests include information theory, deep learning, and reinforcement learning.