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Andrew Barto and Richard Sutton win 2024 Turing Award
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ACM将2024年图灵奖授予Andrew Barto和Richard Sutton,以表彰他们为强化学习奠定的概念和算法基础。自1980年代起,他们通过一系列论文,引入了强化学习的主要思想,构建了数学基础,并开发了重要的算法。该奖项附带100万美元奖金。Barto是马萨诸塞大学阿默斯特分校信息与计算机科学系的荣誉退休教授,而Sutton是阿尔伯塔大学的计算科学教授,Keen Technologies的研究科学家,以及阿尔伯塔机器智能研究所的首席科学顾问。他们于1978年开始合作。

🏆 Andrew Barto和Richard Sutton因在强化学习领域的开创性贡献,荣获2024年ACM图灵奖,该奖项被誉为“计算机科学领域的诺贝尔奖”。

🧠 Barto和Sutton从1980年代开始,通过一系列论文,系统性地提出了强化学习的核心概念,并构建了其坚实的数学理论基础。

🤝 两人于1978年在马萨诸塞大学阿默斯特分校开始合作,Barto当时是Sutton的博士和博士后导师,共同推动了强化学习领域的进步。

Andrew Barto and Richard Sutton. Image credit: Association for Computing Machinery.

The Association for Computing Machinery, has named Andrew Barto and Richard Sutton as the recipients of the 2024 ACM A.M. Turing Award. The pair have received the honour 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, constructed the mathematical foundations, and developed important algorithms for reinforcement learning.

The Turing Award comes with a $1 million prize, to be split between the recipients. Since its inception in 1966, the award has honoured computer scientists and engineers on a yearly basis. The prize was last given for AI research in 2018, when Yoshua Bengio, Yann LeCun and Geoffrey Hinton were recognised for their contribution to the field of deep neural networks.

Andrew Barto is Professor Emeritus, Department of Information and Computer Sciences, University of Massachusetts, Amherst. He began his career at UMass Amherst as a postdoctoral Research Associate in 1977, and has subsequently held various positions including Associate Professor, Professor, and Department Chair. Barto received a BS degree in Mathematics (with distinction) from the University of Michigan, where he also earned his MS and PhD degrees in Computer and Communication Sciences.

Richard Sutton is a Professor in Computing Science at the University of Alberta, a Research Scientist at Keen Technologies (an artificial general intelligence company based in Dallas, Texas) and Chief Scientific Advisor of the Alberta Machine Intelligence Institute (Amii). Sutton was a Distinguished Research Scientist at Deep Mind from 2017 to 2023. Prior to joining the University of Alberta, he served as a Principal Technical Staff Member in the Artificial Intelligence Department at the AT&T Shannon Laboratory in Florham Park, New Jersey, from 1998 to 2002. Sutton received his BA in Psychology from Stanford University and earned his MS and PhD degrees in Computer and Information Science from the University of Massachusetts at Amherst.

The two researchers began collaborating in 1978, at the University of Massachusetts at Amherst, where Barto was Sutton’s PhD and postdoctoral advisor.

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图灵奖 强化学习 Andrew Barto Richard Sutton
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