Théophane Weber

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 15

Top Topics

Credit Assignment

Deterministic Domains

Reinforcement Learning

Top Venues

Publications

Andreea Deac, Théophane Weber, George Papamakarios
Equivariant MuZero. CoRR (2023)
Pol Moreno, Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Rosália G. Schneider, Björn Winckler, Larisa Markeeva, Théophane Weber, Danilo J. Rezende
Laser: Latent Set Representations for 3D Generative Modeling. CoRR (2023)
Jacob C. Walker, Eszter Vértes, Yazhe Li, Gabriel Dulac-Arnold, Ankesh Anand, Théophane Weber, Jessica B. Hamrick
Investigating the role of model-based learning in exploration and transfer. CoRR (2023)
Peter C. Humphreys, Arthur Guez, Olivier Tieleman, Laurent Sifre, Théophane Weber, Timothy P. Lillicrap
Large-Scale Retrieval for Reinforcement Learning. CoRR (2022)
Pol Moreno, Edward Hughes, Kevin R. McKee, Bernardo Ávila Pires, Théophane Weber
Neural Recursive Belief States in Multi-Agent Reinforcement Learning. CoRR (2021)
Ankesh Anand, Jacob Walker, Yazhe Li, Eszter Vértes, Julian Schrittwieser, Sherjil Ozair, Théophane Weber, Jessica B. Hamrick
Procedural Generalization by Planning with Self-Supervised World Models. CoRR (2021)
Arthur Guez, Fabio Viola, Théophane Weber, Lars Buesing, Steven Kapturowski, Doina Precup, David Silver, Nicolas Heess
Value-driven Hindsight Modelling. CoRR (2020)
Mehdi Mirza, Andrew Jaegle, Jonathan J. Hunt, Arthur Guez, Saran Tunyasuvunakool, Alistair Muldal, Théophane Weber, Péter Karkus, Sébastien Racanière, Lars Buesing, Timothy P. Lillicrap, Nicolas Heess
Physically Embedded Planning Problems: New Challenges for Reinforcement Learning. CoRR (2020)
Thomas Mesnard, Théophane Weber, Fabio Viola, Shantanu Thakoor, Alaa Saade, Anna Harutyunyan, Will Dabney, Tom Stepleton, Nicolas Heess, Arthur Guez, Marcus Hutter, Lars Buesing, Rémi Munos
Counterfactual Credit Assignment in Model-Free Reinforcement Learning. CoRR (2020)
Jessica B. Hamrick, Abram L. Friesen, Feryal Behbahani, Arthur Guez, Fabio Viola, Sims Witherspoon, Thomas Anthony, Lars Buesing, Petar Velickovic, Théophane Weber
On the role of planning in model-based deep reinforcement learning. CoRR (2020)
Théophane Weber, Nicolas Heess, Lars Buesing, David Silver
Credit Assignment Techniques in Stochastic Computation Graphs. CoRR (2019)
Théophane Weber, Nicolas Heess, Lars Buesing, David Silver
Credit Assignment Techniques in Stochastic Computation Graphs. AISTATS (2019)
Arthur Guez, Mehdi Mirza, Karol Gregor, Rishabh Kabra, Sébastien Racanière, Théophane Weber, David Raposo, Adam Santoro, Laurent Orseau, Tom Eccles, Greg Wayne, David Silver, Timothy P. Lillicrap
An investigation of model-free planning. CoRR (2019)
Laurent Orseau, Levi H. S. Lelis, Tor Lattimore, Théophane Weber
Single-Agent Policy Tree Search With Guarantees. CoRR (2018)
Arthur Guez, Théophane Weber, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals, Daan Wierstra, Rémi Munos, David Silver
Learning to Search with MCTSnets. CoRR (2018)
Jérémie Gallien, Théophane Weber
To Wave or Not to Wave? Order Release Policies for Warehouses with an Automated Sorter. Manuf. Serv. Oper. Manag. 12 (4) (2010)
Daniela Pucci de Farias, Théophane Weber
Choosing the cost vector of the linear programming approach to approximate dynamic programming. CDC (2008)