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Arthur Guez

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My research supervisor was Joelle Pineau. I was part of the Reasoning and Learning lab and I was a member of the McGill Center for Intelligent Machines.

NSERC Alexander Graham Bell Canada Graduate Scholarship (CGS) D, 2010-2013.
FQRNT Master research scholarship B1 - 2009-2010.
NSERC Alexander Graham Bell Canada Graduate Scholarship (CGS) M, 2008-2009.
CRA Outstanding Undergraduate Award, Honorable Mention, 2008.
NSERC Undergraduate Student Research Award (USRA), Summer 2007.

Papers34 papers

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On the role of planning in model-based deep reinforcement learning

Jessica B. Hamrick,Abram L. Friesen, Feryal Behbahani,Arthur Guez,Fabio Viola, Sims Witherspoon, Thomas Anthony,Lars Buesing, Petar Veličković,Théophane Weber

Bibtex

Counterfactual Credit Assignment in Model-Free Reinforcement Learning

Thomas Mesnard,Théophane Weber, Fabio Viola, Shantanu Thakoor, Alaa Saade,Anna Harutyunyan,Will Dabney, Tom Stepleton,Nicolas Heess,Arthur Guez, Marcus Hutter,Lars Buesing

Bibtex

Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban

Peter Karkus,Mehdi Mirza,Arthur Guez, Andrew Jaegle,Timothy Lillicrap,Lars Buesing,Nicolas Heess,Theophane Weber

Bibtex

Physically Embedded Planning Problems: New Challenges for Reinforcement Learning

Mehdi Mirza, Andrew Jaegle,Jonathan J. Hunt,Arthur Guez, Saran Tunyasuvunakool, Alistair Muldal,Théophane Weber, Peter Karkus,Sébastien Racanière,Lars Buesing, Timothy Lillicrap,Nicolas Heess

Cited by1Bibtex

Value-driven Hindsight Modelling

Guez Arthur,Viola Fabio,Weber Théophane,Buesing Lars,Kapturowski Steven,Precup Doina,Silver David,Heess Nicolas

NeurIPS, (2020)

EIBibtex

Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model

Schrittwieser Julian,Antonoglou Ioannis, Hubert Thomas,Simonyan Karen,Sifre Laurent, Schmitt Simon,Guez Arthur,Lockhart Edward,Hassabis Demis,Graepel Thore,Lillicrap Timothy,Silver David

Nature, no. 7839 (2019): 604-609

Cited by106WOSBibtex

Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search

Lars Buesing,Theophane Weber, Yori Zwols,Nicolas Heess, Sebastien Racaniere,Arthur Guez, Jean-Baptiste Lespiau

ICLR, (2019)

EIBibtex

An investigation of model-free planning

Arthur Guez,Mehdi Mirza,Karol Gregor, Rishabh Kabra, Sébastien Racanière,Théophane Weber, David Raposo,Adam Santoro,Laurent Orseau, Tom Eccles,Greg Wayne,David Silver

International Conference on Machine Learning, (2019): 2464-2473

Cited by24EIBibtex

Learning to Search with MCTSnets

Arthur Guez,Théophane Weber,Ioannis Antonoglou,Karen Simonyan,Oriol Vinyals,Daan Wierstra,Rémi Munos,David Silver

ICML, (2018): 1817-1826

Cited by38EIBibtex

Adaptive planning in human search

Moritz J. F. Krusche, Eric Schulz,Arthur Guez,Maarten Speekenbrink

bioRxiv, pp.268938-6, (2018)

Cited by1EIBibtex

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

David Silver, Thomas Hubert, Julian Schrittwieser,Ioannis Antonoglou, Matthew Lai,Arthur Guez,Marc Lanctot,Laurent Sifre,Dharshan Kumaran,Thore Graepel,Timothy Lillicrap,Karen Simonyan

Science (New York, N.Y.), no. 6419 (2018): 1140-1144

Cited by896WOSBibtex

Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search

Lars Buesing,Theophane Weber, Yori Zwols, Sébastien Racanière,Arthur Guez,Jean-Baptiste Lespiau,Nicolas Heess

arXiv: Learning, (2018)

Cited by37EIBibtex

Imagination-Augmented Agents for Deep Reinforcement Learning

Sébastien Racanière,Theophane Weber,David P. Reichert,Lars Buesing,Arthur Guez,Danilo Jimenez Rezende, Adrià Puigdomènech Badia,Oriol Vinyals,Nicolas Heess,Yujia Li,Razvan Pascanu,Peter Battaglia

neural information processing systems, (2017): 5694-5705

Cited by176EIBibtex

Imagination-Augmented Agents for Deep Reinforcement Learning

Sebastien Racaniere,Theophane Weber,David P. Reichert,Lars Buesing,Arthur Guez, Danilo Rezende, Adria Puigdomenech Badia,Oriol Vinyals,Nicolas Heess,Yujia Li,Razvan Pascanu,Peter Battaglia

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017), (2017)

Bibtex

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

Mastering the game of Go without human knowledge

David Silver, Julian Schrittwieser,Karen Simonyan,Ioannis Antonoglou,Aja Huang,Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton,Yutian Chen,Timothy Lillicrap

Nat., no. 7676 (2017): 354-359

Cited by4287WOSEIBibtex

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

David Silver, Thomas Hubert, Julian Schrittwieser,Ioannis Antonoglou, Matthew Lai,Arthur Guez,Marc Lanctot,Laurent Sifre,Dharshan Kumaran,Thore Graepel,Timothy P. Lillicrap,Karen Simonyan

arXiv: Artificial Intelligence, (2017)

Cited by779EIBibtex

Learning values across many orders of magnitude

Hado van Hasselt,Arthur Guez, Matteo Hessel,Volodymyr Mnih,David Silver

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 29 (NIPS 2016), (2016)

Bibtex

Increasing the Action Gap: New Operators for Reinforcement Learning

Marc G. Bellemare,Georg Ostrovski,Arthur Guez,Philip S. Thomas,Rémi Munos

AAAI'16 Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, (2016)

Cited by88EIBibtex

Learning functions across many orders of magnitudes

Hado van Hasselt,Arthur Guez, Matteo Hessel,David Silver

arXiv: Learning, (2016)

Cited by1EIBibtex

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