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Andrew Barto and Richard Sutton Awarded Turing Prize for Reinforcement Learning Innovations

The pioneers of reinforcement learning are recognized for their transformative contributions to AI, which underpin breakthroughs like AlphaGo and ChatGPT.

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Alan Turing a closeup portrait from English money
A lodging for construction workers is seen in front of a Data center in Sedenak Tech Park in Johor state of Malaysia, Friday, Sept. 27, 2024. (AP Photo/Vincent Thian)
Illustration: Gabriella Turrisi/Axios

Overview

  • Andrew Barto and Richard Sutton, key figures in artificial intelligence, have won the 2025 Turing Award, often referred to as the 'Nobel Prize of Computing.'
  • Their work on reinforcement learning, a method where machines learn through trial and error using rewards and penalties, laid the foundation for modern AI systems.
  • The technique has enabled significant advancements, including Google's AlphaGo, OpenAI's ChatGPT, and applications in robotics, finance, and chip design.
  • Barto and Sutton's research, initially unfashionable, has grown to be a central pillar of AI development, attracting investments and inspiring new generations of researchers.
  • While optimistic about AI's potential, the recipients emphasized the importance of caution in its development, highlighting risks tied to rapid deployment without proper safeguards.