Two trailblazing computer scientists have won the 2024 Turing Award for their work in reinforcement learning, a discipline in which machines learn through a reward-based trial-and-error approach that lets them adapt within constrained or dynamic environments.

Having machines learn from experience was once considered a dead end. It’s now critical to artificial intelligence, and work in the field has won two men the highest honor in computer science.

Richard Sutton and Andrew Barto won this year's Turing Award, considered the Nobel Prize for computing, for their significant contributions to machine learning development. The two

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Reinforcement learning pioneers Andrew Barto and Richard Sutton receive the Turing Award for revolutionizing AI innovation and shaping the future of technology.

This year's Turing Award — often called the Nobel Prize of computer science — is going to Andrew Barto and Richard Sutton, the pioneers of a key approach that underlies much of today's artificial intelligence.

Scholars Andrew G. Barto and Richard S. Sutton pioneered reinforcement learning long before it became a key tool in AI.

Teaching machines in the way that animal trainers mold the behavior of dogs or horses has been an important method for developing artificial intelligence (AI) and one that was recognized Wednesday with the top computer science award.