Richard S. Sutton
Richard S. Sutton | |
|---|---|
Sutton in 2021 | |
| Born | 1957 or 1958 (age 67–68) Ohio, U.S. |
| Citizenship | Canadian |
| Education | Stanford University (BA) University of Massachusetts, Amherst (MS, PhD) |
| Known for | Temporal difference learning, Dyna, Options, GQ(λ) |
| Awards | AAAI Fellow (2001) President's Award (INNS) (2003) Royal Society of Canada Fellow (2016) Turing Award (2025) |
| Scientific career | |
| Fields | Artificial intelligence Reinforcement learning |
| Institutions | University of Alberta |
| Thesis | Temporal credit assignment in reinforcement learning (1984) |
| Doctoral advisor | Andrew Barto |
| Doctoral students | David Silver Doina Precup |
| Website | incompleteideas |
Richard Stuart Sutton 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. Sutton is considered one of the founders of modern computational reinforcement learning, having several significant contributions to the field, including temporal difference learning and policy gradient methods.