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Tom Schaul

  • Dr.
  • Research scientist
  • Google - DeepMind
--

Readers

Number of times these publications have been added to libraries on Mendeley.
50

Publications

Number of items in this person’s My Publications folder on Mendeley.

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

Explore network

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)