The Artificial PostAccount
Researchers

Richard Sutton

Reinforcement learningUniversity of AlbertaOfficial profile

Learning predictions and actions from reward and experience.

Sutton studies reinforcement learning as a way to understand intelligent behavior. The central question is how an agent can improve its predictions and decisions through interaction. This selection focuses on temporal-difference methods, continual learning, and learning from ongoing streams of experience.

Selected work

10 papers

An independent editorial profile. Inclusion does not imply Council membership or endorsement. Research is collaborative; coauthorship does not imply sole credit.

Selection & sources