Learning in Real World "Games"

January 17, 2020, Webb 1100

George Cybenko


There has been much excitement about recent machine learning results involving complex games such as Go, Poker and StarCraft.  This talkwill quickly review those positive results and then present a variety of negative results about learnability in games where both players are allowed to adapt and learn simultaneously.  Approaches for playing, learning and dominating in such engagements will be presented.

Speaker's Bio

Dr. George Cybenko is the Dorothy and Walter Gramm Professor at the Thayer School of Engineering at Dartmouth. Cybenko has made key research contributions in machine learning, information security and computational and adversarial behavioral analysis. He has advised dozens of PhD students, included among them are a CTO of the FBI (Wayne Chung) and the current CISO of Barclays International (David Robinson). Cybenko was the Founding Editor-in-Chief of IEEE Security & Privacy, which is currently the largest professional society publication focused on security. Professor Cybenko is a Fellow of the IEEE, has served on the Defense Science Board, the US Air Force Science Advisory Board and is presently on the US Army Cyber Institute Advisory Board. Prior to joining Dartmouth, he was Professor of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign. Cybenko received his BS (University of Toronto) and PhD (Princeton) degrees in Mathematics.