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Artificial Intelligence

Turing Award Honors Pioneers of Reinforcement Learning

Andrew Barto and Richard Sutton recognized for foundational work powering modern AI reasoning models.

By AuthorNew York, InternacionalEvent: 16-09-2026Published: 16-09-2026AI-assisted
Abstract representation of neural network nodes and reinforcement learning feedback loops.
Abstract representation of neural network nodes and reinforcement learning feedback loops. 路 Credit: Imagen generada con IA(AI-generated image)

The ACM has awarded the 2024 A.M. Turing Award to researchers whose 1980s reinforcement learning algorithms now underpin contemporary large reasoning models.

THE FOUNDATION OF MODERN AI. The Association for Computing Machinery (ACM) has bestowed the prestigious 2024 A.M. Turing Award upon Andrew Barto and Richard Sutton. Their decades-long research into reinforcement learning鈥攁 method where systems learn through feedback loops鈥攈as transitioned from theoretical psychology to the backbone of modern artificial intelligence. Their seminal 1998 textbook remains a primary reference in the field, having been cited over 75,000 times. WHY IT MATTERS. This recognition highlights that today's breakthroughs in large reasoning models and autonomous systems like AlphaGo are not isolated events, but the culmination of mathematical frameworks developed long before the current generative AI boom. By enabling machines to optimize decision-making through trial and error, their work remains essential for the next generation of autonomous agents.

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