Algorithms from the 1980s power today's AI breakthroughs, earn Turing Award for researchers
Key Points
- Andrew Barto and Richard Sutton will receive the prestigious 2024 Turing Award for their fundamental contributions to reinforcement learning, a key technology of modern AI.
- Their algorithms and concepts, developed since the 1980s, enable machines to learn independently through reward signals. The combination with deep learning has led to successes such as AlphaGo and, more recently, Large Reasoning Models.
- Applications range from robotics and networking to Internet advertising. The laureates' work has spurred billions of dollars of investment in AI technologies and is seen as a direct response to Alan Turing's vision of learning machines.
Andrew Barto and Richard Sutton have won the 2024 A.M. Turing Award for developing key technologies that power modern artificial intelligence, including recent breakthroughs in large reasoning models.
The Association for Computing Machinery (ACM) selected Barto and Sutton for their groundbreaking work on reinforcement learning - technology that later enabled achievements like AlphaGo and today's large reasoning models (LRMs). The award, often called the "Nobel Prize in Computer Science," comes with a $1 million prize and recognizes their algorithms and concepts from the 1980s that allow machines to learn independently through reward signals.
From psychology principles to AI breakthroughs
The researchers took a simple concept from psychology - systems learning from feedback about their actions - and transformed it into a mathematical framework now used across AI applications. Their 1998 textbook "Reinforcement Learning: An Introduction" has become a cornerstone of the field, cited more than 75,000 times.
When combined with deep learning, their methods led to major advances: AlphaGo defeating world champion Lee Sedol, ChatGPT's training through human feedback, and new LRMs like OpenAI's o3 and Deepseek's R1. The technology now powers everything from advanced robotics to improvements in networking, chip design and online advertising.
Building on Turing's vision
Google Senior VP Jeff Dean sees their work as fulfilling Alan Turing's original goals: "In a 1947 lecture, Alan Turing stated ‘What we want is a machine that can learn from experience. Reinforcement learning, as pioneered by Barto and Sutton, directly answers Turing’s challenge."
The partnership began in 1978 at the University of Massachusetts, where Barto mentored Sutton during his doctoral studies. Their research has earned numerous accolades and sparked billions in AI investment. Today, Barto is professor emeritus at UMass Amherst, while Sutton works at both the University of Alberta and Keen Technologies. Sutton is also known for writing the influential essay The Bitter Lesson.
Barto and Sutton join an elite group of computer science innovators, including deep learning pioneers Yoshua Bengio, Geoffrey Hinton and Yann LeCun, who received the award in 2019. Named for British mathematician Alan Turing, the prize has recognized transformative contributions to computer science since 1966.
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