ACM ByteCast Archive
ACM ByteCast is a podcast series from ACM’s Practitioners Board in which hosts Rashmi Mohan and Jessica Bell interview researchers, practitioners and innovators who are at the intersection of computing research and practice. In each monthly episode, guests will share their experiences, the lessons they’ve learned, and their own visions for the future of computing.
Listen to past episodes below, or wherever you get your podcasts.
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2020
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In this episode of ACM ByteCast, Rashmi Mohan hosts 2024 ACM A.M. Turing Award laureates Andrew Barto and Richard Sutton. They received the Turing Award for developing the conceptual and algorithmic foundations of reinforcement learning, a computational framework that underpins modern AI systems such as AlphaGo and ChatGPT.
In the interview, Andrew and Richard reflect on their long collaboration together and the personal and intellectual paths that led both researchers into CS and reinforcement learning (RL), a field that was once largely neglected. They touch on interdisciplinary explorations across psychology (animal learning), control theory, operations research, cybernetics, and how these inspired their computational models.
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Please contact hosts Rashmi Mohan, Bruke Kifle, and Scott Hanselman at [email protected].