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.

AI scaling faces diminishing returns due to the growing scarcity of high-quality, high-entropy data from the internet, pushing the industry towards

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

Andrew Barto and Richard Sutton developed reinforcement learning, a technique vital to chatbots like ChatGPT. By Cade Metz Reporting from San Francisco In 1977, Andrew Barto, as a researcher at the University of Massachusetts,

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

Andrew Barto amp Richard Sutton win the Turing Award for their pioneering work in reinforcement learning, shaping AI advancements from ChatGPT to robotics.

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

Jonathan Frankle is Chief AI Scientist at Databricks, where he leads the AI research team toward the goal of bringing the latest advances in large language models, computer vision, and reinforcement learning to Databricks’ 12,

Two pioneers of reinforcement learning, a scientific technique that has been fundamental to the artificial intelligence boom, have warned against the unsafe deployment of AI models after winning this year’s Turing Award.

Sutton as the recipients of the 2024 ACM A.M. Turing Award for developing the conceptual and algorithmic foundations of reinforcement learning. In a series of papers beginning in the 1980s, Barto and Sutton introduced the main ideas,

Boston Dynamics founder Marc Raibert says reinforcement learning is helping his creations gain more independence.