The Long-term of Artificial Intelligence & Temporal-Difference Learning

Prof. Richard Sutton’s nice talk about reinforcement learning in artificial intelligence recorded in July 2017.

Slides here:

The Artificial Intelligence Channel

Richard S. Sutton is a Canadian computer scientist. Currently he is professor of Computer Science and iCORE chair at the University of Alberta. Dr. Sutton is considered one of the founding fathers of modern computational reinforcement learning, having several significant contributions to the field, including temporal difference learning, policy gradient methods, the Dyna architecture.

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