DeepMind’s Richard Sutton – The Long-term of AI & Temporal-Difference Learning
Link to the slides: http://videolectures.net/site/normal_dl/tag=1137922/deeplearning2017_sutton_td_learning_01.pdf
Richard S. Sutton is a Canadian computer scientist. Currently he is professor of Computer Science and iCORE chair at the University of Alberta. Dr. Sutton is considered one of the founding fathers of modern computational reinforcement learning, having several significant contributions to the field, including temporal difference learning, policy gradient methods, the Dyna architecture.
Recorded: July 2017