Arthur Guez
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
6
Active years
2008–2025
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning. | Khimya Khetarpal, Zhaohan Daniel Guo, Bernardo vila Pires, Yunhao Tang, Clare Lyle, Mark Rowland, Nicolas Heess, Diana L. Borsa, Arthur Guez, Will Dabney |
| 2022 | ICLR | 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 |
| 2022 | ICLR | Policy improvement by planning with Gumbel. | Ivo Danihelka, Arthur Guez, Julian Schrittwieser, David Silver |
| 2022 | ICML | Retrieval-Augmented Reinforcement Learning. | Anirudh Goyal, Abram L. Friesen, Andrea Banino, Theophane Weber, Nan Rosemary Ke, Adri Puigdomnech Badia, Arthur Guez, Mehdi Mirza, Peter Conway Humphreys, Ksenia Konyushkova, Michal Valko, Simon Osindero, Timothy P. Lillicrap, Nicolas Heess, Charles Blundell |
| 2021 | ICLR | On the role of planning in model-based deep reinforcement learning. | Jessica B. Hamrick, Abram L. Friesen, Feryal M. P. Behbahani, Arthur Guez, Fabio Viola, Sims Witherspoon, Thomas Anthony, Lars Holger Buesing, Petar Velickovic, Theophane Weber |
| 2021 | ICML | Muesli: Combining Improvements in Policy Optimization. | Matteo Hessel, Ivo Danihelka, Fabio Viola, Arthur Guez, Simon Schmitt, Laurent Sifre, Theophane Weber, David Silver, Hado van Hasselt |
| 2021 | ICML | Counterfactual Credit Assignment in Model-Free Reinforcement Learning. | Thomas Mesnard, Theophane Weber, Fabio Viola, Shantanu Thakoor, Alaa Saade, Anna Harutyunyan, Will Dabney, Thomas S. Stepleton, Nicolas Heess, Arthur Guez, Eric Moulines, Marcus Hutter, Lars Buesing, Rmi Munos |
| 2019 | ICLR | Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search. | Lars Buesing, Theophane Weber, Yori Zwols, Nicolas Heess, Sbastien Racanire, Arthur Guez, Jean-Baptiste Lespiau |
| 2019 | ICML | An Investigation of Model-Free Planning. | Arthur Guez, Mehdi Mirza, Karol Gregor, Rishabh Kabra, Sbastien Racanire, Theophane Weber, David Raposo, Adam Santoro, Laurent Orseau, Tom Eccles, Greg Wayne, David Silver, Timothy P. Lillicrap |
| 2018 | CogSci | Adaptive planning in human search. | Moritz Krusche, Eric Schulz, Arthur Guez, Maarten Speekenbrink |
| 2018 | ICML | Learning to Search with MCTSnets. | Arthur Guez, Theophane Weber, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals, Daan Wierstra, Rmi Munos, David Silver |
| 2017 | ICML | 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, Andr Barreto, Thomas Degris |
| 2016 | AAAI | Increasing the Action Gap: New Operators for Reinforcement Learning. | Marc G. Bellemare, Georg Ostrovski, Arthur Guez, Philip S. Thomas, Rmi Munos |
| 2016 | AAAI | Deep Reinforcement Learning with Double Q-Learning. | Hado van Hasselt, Arthur Guez, David Silver |
| 2010 | ICRA | Multi-tasking SLAM. | Arthur Guez, Joelle Pineau |
| 2008 | AAAI | Adaptive Treatment of Epilepsy via Batch-mode Reinforcement Learning. | Arthur Guez, Robert D. Vincent, Massimo Avoli, Joelle Pineau |