Theophane Weber
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
6
Active years
2008–2023
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICLR | Learning to Induce Causal Structure. | Nan Rosemary Ke, Silvia Chiappa, Jane X. Wang, Jrg Bornschein, Anirudh Goyal, Mlanie Rey, Theophane Weber, Matthew M. Botvinick, Michael Curtis Mozer, Danilo Jimenez Rezende |
| 2023 | ICML | Quantile Credit Assignment. | Thomas Mesnard, Wenqi Chen, Alaa Saade, Yunhao Tang, Mark Rowland, Theophane Weber, Clare Lyle, Audrunas Gruslys, Michal Valko, Will Dabney, Georg Ostrovski, Eric Moulines, Rmi Munos |
| 2023 | ICML | Investigating the Role of Model-Based Learning in Exploration and Transfer. | Jacob C. Walker, Eszter Vrtes, Yazhe Li, Gabriel Dulac-Arnold, Ankesh Anand, Theophane Weber, Jessica B. Hamrick |
| 2022 | ICLR | Procedural generalization by planning with self-supervised world models. | Ankesh Anand, Jacob C. Walker, Yazhe Li, Eszter Vrtes, Julian Schrittwieser, Sherjil Ozair, Theophane Weber, Jessica B. Hamrick |
| 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 |
| 2020 | AISTATS | Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions. | Lars Buesing, Nicolas Heess, Theophane Weber |
| 2020 | ICLR | Combining Q-Learning and Search with Amortized Value Estimates. | Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Theophane Weber, Lars Buesing, Peter W. Battaglia |
| 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 | ICLR | Temporal Difference Variational Auto-Encoder. | Karol Gregor, George Papamakarios, Frederic Besse, Lars Buesing, Theophane Weber |
| 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 | ICML | Learning to Search with MCTSnets. | Arthur Guez, Theophane Weber, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals, Daan Wierstra, Rmi Munos, David Silver |
| 2010 | ISLPED | Low power logic for statistical inference. | Benjamin Vigoda, David Reynolds, Jeffrey Bernstein, Theophane Weber, Bill Bradley |
| 2010 | SODA | PTAS for Maximum Weight Independent Set Problem with Random Weights in Bounded Degree Graphs. | David Gamarnik, David A. Goldberg, Theophane Weber |
| 2008 | ICONIP | On Similarity Measures for Spike Trains. | Justin Dauwels, Franois B. Vialatte, Theophane Weber, Andrzej Cichocki |
| 2008 | ICONIP | An Exemplar-Based Statistical Model for the Dynamics of Neural Synchrony. | Justin Dauwels, Franois B. Vialatte, Theophane Weber, Andrzej Cichocki |