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Reasoning-Modulated Representations


Jul 19, 2021
Petar Velińćkovińá, Matko BoŇ°njak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell

* ICML 2021 Workshop on Self-Supervised Learning for Reasoning and Perception (Spotlight Talk). 7 pages, 3 figures 

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CoBERL: Contrastive BERT for Reinforcement Learning


Jul 12, 2021
Andrea Banino, Adrià Puidomenech Badia, Jacob Walker, Tim Scholtes, Jovana Mitrovic, Charles Blundell

* 9 pages, 2 figures, 6 tables 

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PonderNet: Learning to Ponder


Jul 12, 2021
Andrea Banino, Jan Balaguer, Charles Blundell

* 16 pages, 2 figures, 2 tables, 8th ICML Workshop on Automated Machine Learning (2021) 

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Emphatic Algorithms for Deep Reinforcement Learning


Jun 21, 2021
Ray Jiang, Tom Zahavy, Zhongwen Xu, Adam White, Matteo Hessel, Charles Blundell, Hado van Hasselt

* Proceedings of the 38th International Conference on Machine Learning, PMLR 139, 2021 

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Neural Algorithmic Reasoning


May 06, 2021
Petar Velińćkovińá, Charles Blundell

* Accepted as an Opinion paper in Patterns. 7 pages, 1 figure 

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Neural Production Systems


Mar 02, 2021
Anirudh Goyal, Aniket Didolkar, Nan Rosemary Ke, Charles Blundell, Philippe Beaudoin, Nicolas Heess, Michael Mozer, Yoshua Bengio


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Coordination Among Neural Modules Through a Shared Global Workspace


Mar 01, 2021
Anirudh Goyal, Aniket Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Mozer, Yoshua Bengio


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Persistent Message Passing


Mar 01, 2021
Heiko Strathmann, Mohammadamin Barekatain, Charles Blundell, Petar Velińćkovińá

* 7 pages, 2 figures 

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Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning


Feb 24, 2021
Víctor Campos, Pablo Sprechmann, Steven Hansen, Andre Barreto, Steven Kapturowski, Alex Vitvitskyi, Adrià Puigdomènech Badia, Charles Blundell


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Representation Learning via Invariant Causal Mechanisms


Oct 15, 2020
Jovana Mitrovic, Brian McWilliams, Jacob Walker, Lars Buesing, Charles Blundell


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Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems


Jun 30, 2020
Anirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Sergey Levine, Charles Blundell, Yoshua Bengio, Michael Mozer

* Under Review, NeurIPS 2020 

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Pointer Graph Networks


Jun 11, 2020
Petar Velińćkovińá, Lars Buesing, Matthew C. Overlan, Razvan Pascanu, Oriol Vinyals, Charles Blundell


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Agent57: Outperforming the Atari Human Benchmark


Mar 30, 2020
Adrià Puigdomènech Badia, Bilal Piot, Steven Kapturowski, Pablo Sprechmann, Alex Vitvitskyi, Daniel Guo, Charles Blundell


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Never Give Up: Learning Directed Exploration Strategies


Feb 14, 2020
Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andew Bolt, Charles Blundell

* Published as a conference paper in ICLR 2020 

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Targeted free energy estimation via learned mappings


Feb 12, 2020
Peter Wirnsberger, Andrew J. Ballard, George Papamakarios, Stuart Abercrombie, Sébastien Racanière, Alexander Pritzel, Danilo Jimenez Rezende, Charles Blundell

* 10 pages, 5 figures 

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MEMO: A Deep Network for Flexible Combination of Episodic Memories


Jan 29, 2020
Andrea Banino, Adrià Puigdomènech Badia, Raphael Köster, Martin J. Chadwick, Vinicius Zambaldi, Demis Hassabis, Caswell Barry, Matthew Botvinick, Dharshan Kumaran, Charles Blundell

* 9 pages, 2 figures, 3 tables, to be published as a conference paper at ICLR 2020 

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Shaping representations through communication: community size effect in artificial learning systems


Dec 12, 2019
Olivier Tieleman, Angeliki Lazaridou, Shibl Mourad, Charles Blundell, Doina Precup

* NeurIPS 2019 workshop on visually grounded interaction and language 

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Generalization of Reinforcement Learners with Working and Episodic Memory


Oct 29, 2019
Meire Fortunato, Melissa Tan, Ryan Faulkner, Steven Hansen, Adrià Puigdomènech Badia, Gavin Buttimore, Charlie Deck, Joel Z Leibo, Charles Blundell

* To be published in NeurIPS 2019. Equal contribution of first 4 authors 

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Neural Execution of Graph Algorithms


Oct 23, 2019
Petar Velińćkovińá, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell

* Under review as a conference paper at ICLR 2020. 13 pages, 4 figures 

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Fast deep reinforcement learning using online adjustments from the past


Oct 18, 2018
Steven Hansen, Pablo Sprechmann, Alexander Pritzel, André Barreto, Charles Blundell

* Accepted at NIPS 2018 

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Pushing the bounds of dropout


Sep 27, 2018
G√°bor Melis, Charles Blundell, Tom√°Ň° Końćisk√Ĺ, Karl Moritz Hermann, Chris Dyer, Phil Blunsom


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Been There, Done That: Meta-Learning with Episodic Recall


Jul 06, 2018
Samuel Ritter, Jane X. Wang, Zeb Kurth-Nelson, Siddhant M. Jayakumar, Charles Blundell, Razvan Pascanu, Matthew Botvinick

* ICML 2018 

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DARLA: Improving Zero-Shot Transfer in Reinforcement Learning


Jun 06, 2018
Irina Higgins, Arka Pal, Andrei A. Rusu, Loic Matthey, Christopher P Burgess, Alexander Pritzel, Matthew Botvinick, Charles Blundell, Alexander Lerchner

* ICML 2017 

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Bayesian Recurrent Neural Networks


Mar 21, 2018
Meire Fortunato, Charles Blundell, Oriol Vinyals


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Memory-based Parameter Adaptation


Feb 28, 2018
Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae, Alexander Pritzel, Adrià Puigdomènech Badia, Benigno Uria, Oriol Vinyals, Demis Hassabis, Razvan Pascanu, Charles Blundell

* Published as a conference paper at ICLR 2018 

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Noisy Networks for Exploration


Feb 15, 2018
Meire Fortunato, Mohammad Gheshlaghi Azar, Bilal Piot, Jacob Menick, Ian Osband, Alex Graves, Vlad Mnih, Remi Munos, Demis Hassabis, Olivier Pietquin, Charles Blundell, Shane Legg

* ICLR 2018 

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Matching Networks for One Shot Learning


Dec 29, 2017
Oriol Vinyals, Charles Blundell, Timothy Lillicrap, Koray Kavukcuoglu, Daan Wierstra


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Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles


Nov 04, 2017
Balaji Lakshminarayanan, Alexander Pritzel, Charles Blundell

* NIPS 2017 

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Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server


Sep 07, 2017
Leonard Hasenclever, Stefan Webb, Thibaut Lienart, Sebastian Vollmer, Balaji Lakshminarayanan, Charles Blundell, Yee Whye Teh

* Journal of Machine Learning Research 18 (2017) 1-37 
* 37 pages, 7 figures 

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