Arthur Guez

Research Scientist, Google DeepMind

Joined

September 2017

Names

Arthur Guez

Emails

****@google.com (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

Research Scientist

Google DeepMind (google.com)

2014 – Present

PhD student

University College London (ucl.ac.uk)

2010 – 2014

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning
Khimya Khetarpal, Zhaohan Daniel Guo, Bernardo Avila Pires, Yunhao Tang, Clare Lyle, Mark Rowland, Nicolas Heess, Diana L Borsa, Arthur Guez, Will Dabney
- AISTATS 2025 Poster
- Readers: Everyone
A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning
Khimya Khetarpal, Zhaohan Daniel Guo, Bernardo Avila Pires, Yunhao Tang, Clare Lyle, Mark Rowland, Nicolas Heess, Diana L Borsa, Arthur Guez, Will Dabney
- NeurIPS 2024 Workshop SSL
- Readers: Everyone
Acceleration in Policy Optimization
Veronica Chelu, Tom Zahavy, Arthur Guez, Doina Precup, Sebastian Flennerhag
- Published: 20 Jul 2023, Last Modified: 01 Sept 2023
- EWRL16
- Readers: Everyone
Large-Scale Retrieval for Reinforcement Learning
Peter Conway Humphreys, Arthur Guez, Olivier Tieleman, Laurent Sifre, Theophane Weber, Timothy P Lillicrap
- Published: 31 Oct 2022, Last Modified: 16 Dec 2022
- NeurIPS 2022 Accept
- Readers: Everyone
COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation
Jongmin Lee, Cosmin Paduraru, Daniel J Mankowitz, Nicolas Heess, Doina Precup, Kee-Eung Kim, Arthur Guez
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Spotlight
- Readers: Everyone
Policy improvement by planning with Gumbel
Ivo Danihelka, Arthur Guez, Julian Schrittwieser, David Silver
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Spotlight
- Readers: Everyone
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 Holger Buesing, Petar Veličković, Theophane Weber
- Published: 12 Jan 2021, Last Modified: 05 May 2023
- ICLR 2021 Poster
- Readers: Everyone
An Investigation of Model-Free Planning
Arthur Guez, Mehdi Mirza, Karol Gregor, Rishabh Kabra, Sébastien Racanière, Theophane Weber, David Raposo, Adam Santoro, Laurent Orseau, Tom Eccles, Greg Wayne, David Silver, Timothy P. Lillicrap
- 2019 (modified: 11 Nov 2022)
- ICML 2019
- Readers: Everyone
Learning to Search with MCTSnets
Arthur Guez, Theophane Weber, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals, Daan Wierstra, Rémi Munos, David Silver
- 2018 (modified: 11 Nov 2022)
- ICML 2018
- Readers: Everyone
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, Demis Hassabis, David Silver, Daan Wierstra
- 2017 (modified: 11 Nov 2022)
- NIPS 2017
- Readers: Everyone

View all 17 publications

Co-Authors

View all 72 co-authors