Rich Sutton

Research Scientist, Keen Technologies; Professor, University of Alberta; Chief Scientific Advisor, Amii; Chief Scientific Officer, ExperienceFlow.ai. Sutton co-developed temporal difference learning and policy gradient methods in reinforcement learning. He received the 2024 Turing Award with Andrew Barto for foundational contributions to reinforcement learning. He is co-author of the textbook "Reinforcement Learning: An Introduction" and is a Fellow of the Royal Society and the Royal Society of Canada. His research focuses on computational principles underlying learning and decision-making.