Tom Schaul

  • Dr.
  • Research scientist
  • Google - DeepMind
50

Publications

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Readers

Research Interests

Recurrent Neural Networks Reinforcement Learning Artificial Curiosity Optimization AI in Games.

Followers (24)

  • Marco Derboni

    Marco Derboni Dalle Molle Institute for Artificial Intelligence

  • Abhishek Rao

    Abhishek Rao National Instruments

  • Paolo Burelli

    Paolo Burelli Aalborg University Copenhagen

  • Laurent Orseau

    Laurent Orseau Institute of Life and Environmental Sciences and Industries

  • Clément Farabet

    Clément Farabet

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Following (26)

  • Simon Harding

    Simon Harding

  • Paolo Burelli

    Paolo Burelli Aalborg University Copenhagen

  • Laurent Orseau

    Laurent Orseau Institute of Life and Environmental Sciences and Industries

  • Clément Farabet

    Clément Farabet

  • Giuseppe Cuccu

    Giuseppe Cuccu IDSIA

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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.

Publications

Natural Evolution Strategies

Wierstra D, Schaul T, Glasmachers T, Sun Y, Peters J, Schmidhuber J

Journal of Machine Learning Research (2014)

  • -- Readers Readers not available. This publication is not currently accessible in the Mendeley catalog.

Unit Tests for Stochastic Optimization

Schaul T, Antonoglou I, Silver D

International Conference on Learning Representations (2014)

  • -- Readers Readers not available. This publication is not currently accessible in the Mendeley catalog.

A Linear Time Natural Evolution Strategy for Non-Separable Functions

Sun Y, Gomez F, Schaul T, Schmidhuber J

Proceedings of the Genetic and Evolutionary Computation Conference (2013)

  • -- Readers Readers not available. This publication is not currently accessible in the Mendeley catalog.

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)

  • -- Readers Readers not available. This publication is not currently accessible in the Mendeley catalog.

Adaptive learning rates and parallelization for stochastic, sparse, non-smooth gradients

Schaul T, LeCun Y

International Conference on Learning Representations (2013)

  • -- Readers Readers not available. This publication is not currently accessible in the Mendeley catalog.

Professional experience

Research scientist

Google - DeepMind

September 2013 - Present

Research Scientist

NYU Courant Institute of Mathematical Sciences

September 2011 - August 2013 (1 year 11 months)

PhD student

IDSIA

February 2007 - August 2011 (4 years 6 months)

Education history

Technische Universität München

Dr. rer. nat.

February 2007 - August 2011 (4 years 6 months)

EPFL - Swiss Federal Institute of Technology

MSc

October 2000 - May 2005 (4 years 7 months)