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Bio
David’s work focuses on artificially intelligent agents based on reinforcement learning. David co-led the project that combined deep learning and reinforcement learning to play Atari games directly from pixels (Nature 2015).
He also led the AlphaGo project, culminating in the first program to defeat a top professional player in the full-size game of Go (Nature 2016), and the AlphaZero project, which learned by itself to defeat the world’s strongest chess, shogi and Go programs (Nature 2017, Science 2018).
Most recently he co-led the AlphaStar project, which led to the world’s first grandmaster level StarCraft player (Nature 2019).
His work has been recognised by the Marvin Minsky award, Mensa Foundation Prize, and Royal Academy of Engineering Silver Medal.
He also led the AlphaGo project, culminating in the first program to defeat a top professional player in the full-size game of Go (Nature 2016), and the AlphaZero project, which learned by itself to defeat the world’s strongest chess, shogi and Go programs (Nature 2017, Science 2018).
Most recently he co-led the AlphaStar project, which led to the world’s first grandmaster level StarCraft player (Nature 2019).
His work has been recognised by the Marvin Minsky award, Mensa Foundation Prize, and Royal Academy of Engineering Silver Medal.
Research Interests
Papers共 184 篇Author StatisticsCo-AuthorSimilar Experts
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Daniel J. Mankowitz,Andrea Michi,Anton Zhernov,Marco Gelmi,Marco Selvi,Cosmin Paduraru,Edouard Leurent,Shariq Iqbal,Jean-Baptiste Lespiau,Alex Ahern, Thomas Köppe, Kevin Millikin,
Natureno. 7964 (2023): 257-263
International Conference on Learning Representations (ICLR) (2022)
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International Conference on Learning Representations (ICLR) (2022)
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arXiv (Cornell University) (2022)
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