Publications

Publication

Constrained Offline RL via Stationary Distribution Correction Estimation

Jongmin Lee *, Cosmin Paduraru, Daniel J. Mankowitz, Nicolas Heess, Doina Precup, Kee-Eung Kim *, Arthur Guez

ICLR

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From Dirichlet to Rubin: Optimistic exploration in RL without bonuses

Daniil Tiapkin *, Denis Belomestny *, Éric Moulines *, Alexey Naumov *, Sergey Samsonov *, Yunhao Tang, Michal Valko, Pierre Menard *

ICML

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Input-level Inductive Biases for 3D Reconstruction

Yifan Wang, Carl Doersch, Relja Arandjelovic, Joao Carreira, Andrew Zisserman

CVPR

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BYOL-Explore: Exploration with Bootstrapped Prediction

Zhaohan Daniel Guo, Shantanu Thakoor, Miruna Pîslar, Bernardo Avila Pires, Florent Altché, Corentin Tallec, Alaa Saade, Daniele Calandriello, Jean-Bastien Grill, Yunhao Tang, Michal Valko, Rémi Munos, Mohammad Gheshlaghi Azar, Bilal Piot

arXiv

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Unlocking High-Accuracy Differentially Private Image Classification through Scale

Soham De, Leonard Berrada, Jamie Hayes, Samuel L. Smith, Borja Balle

arXiv

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Perceiver AR: general-purpose, long-context autoregressive generation

Curtis Hawthorne, Andrew Jaegle, Cătălina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse Engel

arXiv

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Evaluating Multimodal Interactive Agents

Josh Abramson, Arun Ahuja, Federico Carnevale, Petko Georgiev, Alex Goldin, Jessica Landon, Timothy Lillicrap, Alistair Muldal, Adam Santoro, Tamara von Glehn, Gregory Wayne, Nathaniel Wong, Chen Yan, Blake Richards *, Alden Hung *

arXiv

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Dynamic language understanding: adaptation to new knowledge in parametric and semi-parametric models

Elena Gribovskaya, Angeliki Lazaridou, Tomáš Kočiský

arXiv

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Emergent Bartering Behaviour in Multi-Agent Reinforcement Learning

Mike Johanson, Edward Hughes, Finbarr Timbers, Joel Leibo

arXiv

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A Generalist Agent

Scott Reed, Konrad Żołna, Emilio Parisotto, Sergio Gómez Colmenarejo, Alexander Novikov, Gabriel Barth-Maron, Mai Giménez, Yury Sulsky, Jackie Kay, Jost Tobias Springenberg, Tom Eccles, Jake Bruce, Ali Razavi, Ashley Edwards, Nicolas Heess, Yutian Chen, Raia Hadsell, Oriol Vinyals, Mahyar Bordbar, and Nando de Freitas

arXiv

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Active offline policy selection

Yutian Chen, Ksenia Konyushkova, Tom Paine, Caglar Gulcehre, Cosmin Paduraru, Daniel J. Mankowitz, Misha Denil, Nando de Freitas

NeurIPS

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The prospects and opportunities of protein structure prediction with AI

Kathryn Tunyasuvunakool

Nature Reviews Molecular Cell Biology

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Fair Normalizing Flows

Mislav Balunovic *, Anian Ruoss, Martin Vechev *

ICLR

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Measuring CLEVRness: Black-box Testing of Visual Reasoning Models

Spyridon Mouselinos *, Henryk Michalewski *, Mateusz Malinowski

ICLR

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Data Distributional Properties Drive Emergent Few-Shot Learning in Transformers

Stephanie Chan, Adam Santoro, Andrew Lampinen, Jane Wang, Aaditya Singh, Pierre Harvey Richemond, Jay Mcclelland, Felix Hill

arXiv

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A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning

Kory Mathewson, Patrick Pilarski

arXiv

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An empirical analysis of compute-optimal large language model training

Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Laurent Sifre

arXiv

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Publication

Offline Distillation for Robot Lifelong Learning with Imbalanced Experience

Wenxuan Zhou *, Steven Bohez, Jan Humplik, Abbas Abdolmaleki, Dushyant Rao, Markus Wulfmeier, Tuomas Haarnoja, Nicolas Heess

arXiv

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Publication

Learning heuristics for A*

Danilo Numeroso *, Davide Bacciu *, Petar Veličković

ICLR

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From eye-blinks to state construction: diagnostic benchmarks for online representation learning

Banafsheh Rafiee *, Zaheer Abbas, Sina Ghiassian *, Raksha Kumaraswamy *, Elliot Ludvig *, Richard Sutton, Adam White

Adaptive Behavior

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Continuous Neural Algorithmic Planners

Yu He *, Petar Veličković, Pietro Liò *, Andreea Deac *

ICLR

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Towards better visual explanations for deep image classifiers

Agnieszka Grabska-Barwinska, Amal Rannen-Triki, Omar Rivasplata *, Andras Gyorgy

NeurIPS Workshop

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Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors

Steven Bohez, Saran Tunyasuvunakool, Philemon Brakel, Fereshteh Sadeghi, Leonard Hasenclever, Yuval Tassa, Emilio Parisotto, Jan Humplik, Tuomas Haarnoja, Roland Hafner, Markus Wulfmeier, Michael Neunert, Ben Moran, Noah Siegel, Andrea Huber, Francesco Romano, Nathan Batchelor, Federico Casarini, Josh Merel *, Raia Hadsell, Nicolas Heess

arXiv

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Investigating the Properties of Neural Network Representations in Reinforcement Learning

Han Wang *, Erfan Miahi *, Martha White *, Zaheer Abbas, Marlos C. Machado, Adam White, Vincent Liu *, Raksha Kumaraswamy *

arXiv

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Publication

Graph Neural Networks are Dynamic Programmers

Andrew Dudzik, Petar Veličković

ICLR

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