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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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Optimizing Industrial Cooling Systems with Hierarchical Reinforcement Learning
William Wong *, Praneet Dutta, Jerry Luo, Octavian Voicu, Yuri Chervonyi, Cosmin Paduraru
arXiv
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Semi-analytical Industrial Cooling System Model for Reinforcement Learning
Yuri Chervonyi, Praneet Dutta, Piotr Trochim *, Octavian Voicu, Cosmin Paduraru, Crystal Qian, Emre Karagozler, Jared Quincy Davis, Richard Chippendale *, Gautam Bajaj *, Sims Witherspoon, Jerry Luo
arXiv
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Generalised Policy Improvement with Geometric Policy Composition
Shantanu Thakoor, Mark Rowland, Diana Borsa, Will Dabney, Remi Munos, Andre Barreto
ICML
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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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Towards Coherent and Consistent Use of Entities in Narrative Generation
Nelly Papalampidi *, Kris Cao, Tomas Kocisky
ICML
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Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Francesco Croce *, Sven Gowal, Thomas Brunner *, Evan Shelhamer, Matthias Hein *, Taylan Cemgil
ICML
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Importance Weighting Approach in Kernel Bayes' Rule
Liyuan Xu *, Yutian Chen, Arnaud Doucet, Arthur Gretton *
ICML
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Intuitive physics learning in a deep-learning model inspired by developmental psychology
Luis Piloto, Ari Weinstein, Peter Battaglia, Matt Botvinick
Nature Human Behaviour
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Affinity Aware Graph Networks
Petar Veličković, Ira Ktena
arXiv
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Scaling Gaussian process optimization by evaluating a few unique candidates multiple times
Daniele Calandriello, Luigi Carratino *, Alessandro Lazaric *, Lorenzo Rosasco *, Michal Valko
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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Subverting machines, fluctuating identities: Re-learning human categorization
Christina Lu, Jackie Kay, Kevin McKee
ACM FAccT
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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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Sheaf Neural Networks with Connection Laplacians
Federico Barbero *, Cristian Bodnar *, Haitz Sáez de Ocáriz Borde *, Michael Bronstein *, Petar Veličković, Pietro Liò *
ICML Workshop
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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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Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games
Siqi Liu, Marc Lanctot, Luke Marris, Nicolas Heess, David Silver
ICML
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An EigenGame for the Generalized Eigenvalue Problem
Ian Gemp, Charlie Chen, Brian McWilliams *
arXiv
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Utility of Equivariant Message Passing in Cortical Mesh Segmentation
Dániel Unyi *, Ferdinando Insalata *, Petar Veličković, Bálint Gyires-Tóth *
arXiv
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StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models
Adam Liska, Tomas Kocisky, Elena Gribovskaya, Tayfun Terzi, Eren Sezener, Devang Agrawal, Cyprien de Masson d'Autume, Tim Scholtes, Manzil Zaheer, Susannah Young, Ellen Gilsenan-McMahon, Sophia Austin, Angeliki Lazaridou
ICML
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The CLRS Algorithmic Reasoning Benchmark
Petar Veličković, Adrià Puigdomènech, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell
ICML
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The CLRS Algorithmic Reasoning Benchmark
Petar Veličković, Adrià Puigdomènech, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell
ICML
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Tell me why! Explanations support learning relational and causal structure
Andrew Lampinen, Nick Roy, Ishita Dasgupta, Stephanie Chan, Allison Tam, Chen Yan, Adam Santoro, Neil Rabinowitz, Jane Wang, Felix Hill
ICML
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Objective Robustness in Deep Reinforcement Learning
Laurent Orseau, Jack Koch *, Lauro Langosco *, Jacob Pfau *, David Krueger *, Lee Sharkey *
ICML
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