Richard S. Sutton
Richard S. Sutton FRS FRSC is a Canadian computer scientist. He is a professor of computing science at the University of Alberta 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.
Richard S. Sutton | |
|---|---|
| Nationality | Canadian |
| Citizenship | Canadian |
| Alma mater | University of Massachusetts Amherst Stanford University |
| Known for | Temporal difference learning, Dyna, Options, GQ(λ) |
| Awards | AAAI Fellow (2001) President's Award (INNS) (2003) Royal Society of Canada Fellow (2016) |
| 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 |
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