Neural scene representation and rendering von Eslami, S M Ali, Jimenez Rezende, Danilo, Besse, Frederic, Viola, Fabio, Morcos, Ari S, Garnelo, Marta, Ruderman, Avraham, Rusu, Andrei A, Danihelka, Ivo, Gregor, Karol, Reichert, David P, Buesing, Lars, Weber, Theophane, Vinyals, Oriol, Rosenbaum, Dan, Rabinowitz, Neil, King, Helen, Hillier, Chloe, Botvinick, Matt, Wierstra, Daan, Kavukcuoglu, Koray, Hassabis, Demis

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To Wave or Not to Wave? Order Release Policies for Warehouses with an Automated Sorter von Gallien, Jérémie, Weber, Théophane

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Equivariant MuZero von Deac, Andreea, Weber, Théophane, Papamakarios, George

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Investigating the role of model-based learning in exploration and transfer von Walker, Jacob, Vértes, Eszter, Li, Yazhe, Dulac-Arnold, Gabriel, Anand, Ankesh, Weber, Théophane, Hamrick, Jessica B

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Equivariant MuZero von Deac, Andreea, Weber, Théophane, Papamakarios, George

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Large-Scale Retrieval for Reinforcement Learning von Humphreys, Peter C, Guez, Arthur, Tieleman, Olivier, Sifre, Laurent, Weber, Théophane, Lillicrap, Timothy

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Correlation Decay in Random Decision Networks von Gamarnik, David, Goldberg, David A., Weber, Theophane

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Laser: Latent Set Representations for 3D Generative Modeling von Moreno, Pol, Kosiorek, Adam R, Strathmann, Heiko, Zoran, Daniel, Schneider, Rosalia G, Winckler, Björn, Markeeva, Larisa, Weber, Théophane, Rezende, Danilo J

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Building machines that learn and think for themselves von Botvinick, Matthew, Barrett, David G. T., Battaglia, Peter, de Freitas, Nando, Kumaran, Darshan, Leibo, Joel Z, Lillicrap, Timothy, Modayil, Joseph, Mohamed, Shakir, Rabinowitz, Neil C., Rezende, Danilo J., Santoro, Adam, Schaul, Tom, Summerfield, Christopher, Wayne, Greg, Weber, Theophane, Wierstra, Daan, Legg, Shane, Hassabis, Demis

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Neural Recursive Belief States in Multi-Agent Reinforcement Learning von Moreno, Pol, Hughes, Edward, McKee, Kevin R, Pires, Bernardo Avila, Weber, Théophane

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Procedural Generalization by Planning with Self-Supervised World Models von Anand, Ankesh, Walker, Jacob, Li, Yazhe, Vértes, Eszter, Schrittwieser, Julian, Ozair, Sherjil, Weber, Théophane, Hamrick, Jessica B

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Credit Assignment Techniques in Stochastic Computation Graphs von Weber, Théophane, Heess, Nicolas, Buesing, Lars, Silver, David

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Single-Agent Policy Tree Search With Guarantees von Orseau, Laurent, Lelis, Levi H. S, Lattimore, Tor, Weber, Théophane

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Value-driven Hindsight Modelling von Guez, Arthur, Viola, Fabio, Weber, Théophane, Buesing, Lars, Kapturowski, Steven, Precup, Doina, Silver, David, Heess, Nicolas

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Investigating the role of model-based learning in exploration and transfer von Walker, Jacob, Vértes, Eszter, Li, Yazhe, Dulac-Arnold, Gabriel, Anand, Ankesh, Weber, Théophane, Hamrick, Jessica B

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Counterfactual Credit Assignment in Model-Free Reinforcement Learning von Mesnard, Thomas, Weber, Théophane, Viola, Fabio, Thakoor, Shantanu, Saade, Alaa, Harutyunyan, Anna, Dabney, Will, Stepleton, Tom, Heess, Nicolas, Guez, Arthur, Moulines, Éric, Hutter, Marcus, Buesing, Lars, Munos, Rémi

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On the role of planning in model-based deep reinforcement learning von Hamrick, Jessica B, Friesen, Abram L, Behbahani, Feryal, Guez, Arthur, Viola, Fabio, Witherspoon, Sims, Anthony, Thomas, Buesing, Lars, Veličković, Petar, Weber, Théophane

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Large-Scale Retrieval for Reinforcement Learning von Humphreys, Peter C, Guez, Arthur, Tieleman, Olivier, Sifre, Laurent, Weber, Théophane, Lillicrap, Timothy

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Physically Embedded Planning Problems: New Challenges for Reinforcement Learning von Mirza, Mehdi, Jaegle, Andrew, Hunt, Jonathan J, Guez, Arthur, Tunyasuvunakool, Saran, Muldal, Alistair, Weber, Théophane, Karkus, Peter, Racanière, Sébastien, Buesing, Lars, Lillicrap, Timothy, Heess, Nicolas

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Quantifying Statistical Interdependence, Part III: N > 2 Point Processes von Dauwels, Justin, Weber, Theophane, Vialatte, François, Musha, Toshimitsu, Cichocki, Andrzej

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