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个人简介
Sutton's research interests center on the learning problems facing a decision-making agent interacting with its environment, which he sees as central to intelligence. He has additional interests in animal learning psychology, in connectionist networks, and generally in systems that continually improve their representations and models of the world. He is co-author of the textbook Reinforcement Learning: An Introduction. His scientific publications have been cited more than 100,000 times. He is also a libertarian, a chess player, and a cancer survivor.
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IEEE transactions on neural networks and learning systemsno. 99 (2024): 1-15
AAAI 2024no. 20 (2024): 22713-22713
CoRR (2023)
Artificial Intelligence (2023): 104001-104001
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