Richard S. Sutton

Richard S. Sutton
Sutton in 2021
Born1957 or 1958 (age 67–68)
Ohio, U.S.
CitizenshipCanadian
EducationStanford University (BA)
University of Massachusetts, Amherst (MS, PhD)
Known forTemporal difference learning, Dyna, Options, GQ(λ)
AwardsAAAI Fellow (2001)
President's Award (INNS) (2003)
Royal Society of Canada Fellow (2016)
Turing Award (2025)
Scientific career
FieldsArtificial intelligence
Reinforcement learning
InstitutionsUniversity of Alberta
ThesisTemporal credit assignment in reinforcement learning (1984)
Doctoral advisorAndrew Barto
Doctoral studentsDavid Silver
Doina Precup
Websiteincompleteideas.net

Richard Stuart Sutton[1] FRS FRSC (born 1957 or 1958) is a Canadian computer scientist. He is a professor of computing science at the University of Alberta, fellow & Chief Scientific Advisor at the Alberta Machine Intelligence Institute, and a research scientist at Keen Technologies.[2] Sutton is considered one of the founders of modern computational reinforcement learning,[3] having several significant contributions to the field, including temporal difference learning and policy gradient methods.[4]

  1. ^ "Temporal credit assignment in reinforcement learning - ProQuest". www.proquest.com.
  2. ^ "John Carmack and Rich Sutton partner to accelerate development of Artificial General Intelligence". markets.businessinsider.com. Retrieved October 2, 2023.
  3. ^ "Exclusive: Interview with Rich Sutton, the Father of Reinforcement Learning". January 11, 2018. Archived from the original on January 11, 2018. Retrieved December 17, 2018.
  4. ^ Cite error: The named reference Piatetsky-2017 was invoked but never defined (see the help page).

© MMXXIII Rich X Search. We shall prevail. All rights reserved. Rich X Search