Tom Schaul

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2012 Postdoctoral Fellowship National Research Fund Luxembourg 2011 PhD Challenge 2011 Solomonoff Student Prize Conference of Artificial General Intelligence 2010 Kurzweil Best Paper Prize Conference of Artificial General Intelligence 2009 GECCO Best Paper Award 2000 International Mathematical Olympiad (South Korea) Bronze medal 1996, 1997 Olympiade Mathématique Belge Second price (twice)

Papers88 papers

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Policy Evaluation Networks

Harb Jean,Schaul Tom,Precup Doina, Bacon Pierre-Luc

Bibtex

AI for the Social Good (Dagstuhl Seminar 19082)

Claudia Clopath, Ruben De Winne,Mohammad Emtiyaz Khan,Tom Schaul

Dagstuhl Reports, no. 2 (2019): 111-122

EIBibtex

Non-Differentiable Supervised Learning with Evolution Strategies and Hybrid Methods

Karel Lenc,Erich Elsen,Tom Schaul,Karen Simonyan

CoRR, (2019)

Cited by4EIBibtex

Universal Successor Features Approximators

Diana Borsa, Andre Barreto, John Quan, Daniel J. Mankowitz,Hado van Hasselt, Remi Munos,David Silver,Tom Schaul

ICLR, (2019)

EIBibtex

Adapting Behaviour for Learning Progress

Schaul Tom, Borsa Diana, Ding David, Szepesvari David,Ostrovski Georg,Dabney Will,Osindero Simon

Bibtex

Conditional Importance Sampling for Off-Policy Learning

Rowland Mark, Harutyunyan Anna,van Hasselt Hado, Borsa Diana,Schaul Tom,Munos Rémi,Dabney Will

AISTATS, pp.45-55, (2019)

Cited by3EIBibtex

Ray Interference: a Source of Plateaus in Deep Reinforcement Learning

Tom Schaul, Diana Borsa,Joseph Modayil,Razvan Pascanu

arXiv: Learning, (2019)

EIBibtex

Rainbow: Combining Improvements in Deep Reinforcement Learning

Matteo Hessel,Joseph Modayil,Hado van Hasselt,Tom Schaul,Georg Ostrovski,Will Dabney, Daniel Horgan,Bilal Piot, Mohammad Gheshlaghi Azar,David Silver

national conference on artificial intelligence, (2018)

Cited by563EIBibtex

Meta-learning by the baldwin effect

Chrisantha Fernando, Jakub Sygnowski,Simon Osindero,Jane Wang,Tom Schaul, Denis Teplyashin,Pablo Sprechmann, Alexander Pritzel,Andrei Rusu

GECCO '18: Genetic and Evolutionary Computation Conference Kyoto Japan July, 2..., pp.109-110, (2018)

Cited by19EIBibtex

Meta-learning by the Baldwin effect

Chrisantha Fernando, Jakub Sygnowski,Simon Osindero,Jane Wang,Tom Schaul, Denis Teplyashin,Pablo Sprechmann, Alexander Pritzel,Andrei A. Rusu

GECCO (Companion), (2018): 1313-1320

Cited by19EIBibtex

The Barbados 2018 List of Open Issues in Continual Learning

Tom Schaul,Hado van Hasselt,Joseph Modayil,Martha White,Adam White, Pierre-Luc Bacon, Jean Harb, Shibl Mourad,Marc G. Bellemare,Doina Precup

arXiv: Artificial Intelligence, (2018)

Cited by2EIBibtex

Universal Successor Features Approximators

Diana Borsa, André Barreto, John Quan,Daniel J. Mankowitz,Rémi Munos,Hado van Hasselt,David Silver,Tom Schaul

arXiv: Learning, (2018)

Cited by17EIBibtex

Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement

André Barreto, Diana Borsa, John Quan,Tom Schaul,David Silver,Matteo Hessel,Daniel J. Mankowitz, Augustin Zídek,Rémi Munos

ICML, pp.510-519, (2018)

Cited by48EIBibtex

Deep Q-learning From Demonstrations

Todd Hester, Matej Vecerik,Olivier Pietquin,Marc Lanctot,Tom Schaul,Bilal Piot, Dan Horgan, John Quan, Andrew Sendonaris, Ian Osband,Gabriel Dulac-Arnold, John Agapiou

AAAI, pp.3223-3230, (2018)

Cited by282EIBibtex

Unicorn: Continual Learning with a Universal, Off-policy Agent

Daniel J. Mankowitz, Augustin Zídek, André Barreto, Dan Horgan,Matteo Hessel, John Quan,Junhyuk Oh,Hado van Hasselt,David Silver,Tom Schaul

arXiv: Learning, (2018)

Cited by3EIBibtex

The Predictron: End-To-End Learning and Planning

David Silver,Hado van Hasselt,Matteo Hessel,Tom Schaul,Arthur Guez,Tim Harley,Gabriel Dulac-Arnold,David P. Reichert,Neil C. Rabinowitz, André Barreto,Thomas Degris

international conference on machine learning, (2017)

Cited by135EIBibtex

StarCraft II: A New Challenge for Reinforcement Learning

Oriol Vinyals, Timo Ewalds, Sergey Bartunov, Petko Georgiev,Alexander Sasha Vezhnevets, Michelle Yeo,Alireza Makhzani,Heinrich Küttler, John Agapiou, Julian Schrittwieser, John Quan, Stephen Gaffney

arXiv: Learning, (2017)

Cited by392EIBibtex

Reinforcement Learning with Unsupervised Auxiliary Tasks

Max Jaderberg,Volodymyr Mnih,Wojciech Marian Czarnecki,Tom Schaul, Joel Z. Leibo,David Silver,Koray Kavukcuoglu

ICLR, (2017)

Cited by641EIBibtex

Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017

Matthew Botvinick, David G. T. Barrett,Peter Battaglia,Nando de Freitas,Dharshan Kumaran,Joel Z. Leibo,Tim Lillicrap,Joseph Modayil,S. Mohamed,Neil C. Rabinowitz,Danilo Jimenez Rezende,Adam Santoro

arXiv: Artificial Intelligence, (2017)

Cited by3EIBibtex

FeUdal Networks for Hierarchical Reinforcement Learning

Alexander Sasha Vezhnevets,Simon Osindero,Tom Schaul,Nicolas Heess,Max Jaderberg,David Silver,Koray Kavukcuoglu

ICML, (2017)

Cited by328EIBibtex

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