2024 ACM A.M. Turing Award: Richard S Sutton and Andrew G. Barto for Reinforcement Learning
Abstract
The 2024 ACM A.M. Turing Award (the “Nobel Prize of Computing”) was awarded to Andrew G. Barto and Richard S. Sutton “for developing the conceptual and algorithmic foundations of reinforcement learning.” Announced on 5 March 2025, the honor not only celebrates nearly five decades of pioneering scholarship but also signals that reinforcement learning (RL) has moved from the periphery of artificial-intelligence research to its very center —most visibly through its role in training large-language models (LLMs).References
References
R. S. Sutton and A. G. Barto, Reinforcement Learning: An Introduction, 2nd ed., MIT Press, Cambridge, MA, 2018.
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L. Hoffmann, “Developing the Foundations of Reinforcement Learning,” Communications of the ACM, vol. 68, no. 6, p. 96, 2025, DOI: 10.1145/3724079.
D. Silver et al., “A General Reinforcement Learning Algorithm that Masters Chess, Shogi, and Go through Self Play,” Science, vol. 362, no. 6419, pp. 1140–1144, 2018.
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DOI:
https://doi.org/10.31449/inf.v49i3.9999Downloads
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