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Tom Schaul

  • Dr.
  • Research scientist
  • Google - DeepMind
  • 0ReadersNumber of instances of Tom's publications in Mendeley libraries. Updated daily.
  • 5PublicationsNumber of items in this person’s My Publications folder on Mendeley.

Research interests

AI in Games.OptimizationArtificial CuriosityReinforcement LearningRecurrent Neural Networks

About

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.

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Following (25)

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Publications

Natural Evolution Strategies

  • Wierstra D
  • Schaul T
  • Glasmachers T
Journal of Machine Learning Research (2014)
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Unit Tests for Stochastic Optimization

  • Schaul T
  • Antonoglou I
  • Silver D
International Conference on Learning Representations (2014)
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A Video Game Description Language for Model-based or Interactive Learning

  • Schaul T
Proceedings of the IEEE Symposium on Computational Intelligence and Games (CIG) (2013)
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Adaptive learning rates and parallelization for stochastic, sparse, non-smooth gradients

  • Schaul T
  • LeCun Y
International Conference on Learning Representations (2013)
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No More Pesky Learning Rates

  • Schaul T
  • Zhang S
  • LeCun Y
International Conference on Machine Learning (ICML) (2013)
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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

IDSIA

February 2007 - August 2011(5 years)

Education history

Dr. rer. nat.

Technische Universität München

February 2007 - August 2011(5 years)

MSc

EPFL - Swiss Federal Institute of Technology

October 2000 - May 2005(5 years)