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Tom Schaul

  • Dr.
  • Research scientist
  • Google - DeepMind
  • 50PublicationsNumber of items in Tom's My Publications folder on Mendeley.
  • 39Followers

Research interests

AI in Games.OptimizationArtificial CuriosityReinforcement LearningRecurrent Neural Networks


I am doing a postdoc in machine learning at NYU in Yann LeCun's lab. Just recently I completed my Ph.D. at IDSIA/TU Munich, supervised by Jürgen Schmidhuber. I grew up in Luxembourg, and completed my studies in computer engineering at the EPFL in Switzerland, at Columbia University and at the University of Waterloo. I work on (modular) reinforcement learning, black-box optimization, (deep and/or recurrent) neural networks, artificial curiosity and related topics.


Followers (39)

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Following (25)

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Recent publications

  • Natural Evolution Strategies

    • Wierstra D
    • Schaul T
    • Glasmachers T
    • et al.
  • Unit Tests for Stochastic Optimization

    • Schaul T
    • Antonoglou I
    • Silver D

Professional experience

Research scientist

Google - DeepMind

September 2013 - Present

Research Scientist

NYU Courant Institute of Mathematical Sciences

September 2011 - August 2013(2 years)

PhD student


February 2007 - August 2011(5 years)


Dr. rer. nat.

Technische Universität München

February 2007 - August 2011(5 years)


EPFL - Swiss Federal Institute of Technology

October 2000 - May 2005(5 years)