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Thore Graepel,
a German physicist and computer scientist, professor of machine learning at University College London, and research lead at Google DeepMind, where he is involved in the AlphaGo and AlphaZero projects mastering the games of Go, chess and Shogi. Thore Graepel received his Ph.D. in machine learning from TU Berlin in 2001. Before joining DeepMind, he was head of the online services and advertising (OSA) research group at Microsoft Research Cambridge. His research interests include probabilistic models, knowledge representation and reasoning, aspects of behavioural game theory, crowdsourcing, and psychometrics [1]. As a Go player, he was passionate about creating a computer program that plays the game of Go better than the best human players [2], and when joining Google, he was the first guy who lost against the "neural network" [3].
Thore Graepel [4]

Selected Publications


2000 ...

2010 ...

External Links


  1. ^ Dr Thore Graepel — The Psychometrics Centre
  2. ^ Keynote talk - Learning to Play: Machine Learning and Computer Games, AIMSA 2010
  3. ^ Google’s AlphaGo Trounces Humans—But It Also Gives Them a Boost by Cade Metz, Wired, May 26, 2017
  4. ^ Thore Graepel
  5. ^ dblp: Thore Graepel

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