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Synthetic Returns for Long-Term Credit Assignment


Feb 24, 2021
David Raposo, Sam Ritter, Adam Santoro, Greg Wayne, Theophane Weber, Matt Botvinick, Hado van Hasselt, Francis Song


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Symbolic Behaviour in Artificial Intelligence


Feb 05, 2021
Adam Santoro, Andrew Lampinen, Kory Mathewson, Timothy Lillicrap, David Raposo


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Imitating Interactive Intelligence


Jan 21, 2021
Josh Abramson, Arun Ahuja, Iain Barr, Arthur Brussee, Federico Carnevale, Mary Cassin, Rachita Chhaparia, Stephen Clark, Bogdan Damoc, Andrew Dudzik, Petko Georgiev, Aurelia Guy, Tim Harley, Felix Hill, Alden Hung, Zachary Kenton, Jessica Landon, Timothy Lillicrap, Kory Mathewson, Soňa Mokrá, Alistair Muldal, Adam Santoro, Nikolay Savinov, Vikrant Varma, Greg Wayne, Duncan Williams, Nathaniel Wong, Chen Yan, Rui Zhu


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Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures


Dec 15, 2020
David Ding, Felix Hill, Adam Santoro, Matt Botvinick

* 22 pages, 5 figures 

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Rapid Task-Solving in Novel Environments


Jun 05, 2020
Sam Ritter, Ryan Faulkner, Laurent Sartran, Adam Santoro, Matt Botvinick, David Raposo


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Emergent Systematic Generalization in a Situated Agent


Oct 28, 2019
Felix Hill, Andrew Lampinen, Rosalia Schneider, Stephen Clark, Matthew Botvinick, James L. McClelland, Adam Santoro


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Automated curricula through setter-solver interactions


Sep 27, 2019
Sebastien Racaniere, Andrew K. Lampinen, Adam Santoro, David P. Reichert, Vlad Firoiu, Timothy P. Lillicrap


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Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette


Apr 18, 2019
Adam Santoro, Felix Hill, David Barrett, David Raposo, Matthew Botvinick, Timothy Lillicrap


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Learning to Make Analogies by Contrasting Abstract Relational Structure


Jan 31, 2019
Felix Hill, Adam Santoro, David G. T. Barrett, Ari S. Morcos, Timothy Lillicrap


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An investigation of model-free planning


Jan 11, 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 Lillicrap


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Relational inductive biases, deep learning, and graph networks


Oct 17, 2018
Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinicius Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, Caglar Gulcehre, Francis Song, Andrew Ballard, Justin Gilmer, George Dahl, Ashish Vaswani, Kelsey Allen, Charles Nash, Victoria Langston, Chris Dyer, Nicolas Heess, Daan Wierstra, Pushmeet Kohli, Matt Botvinick, Oriol Vinyals, Yujia Li, Razvan Pascanu


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Learning Visual Question Answering by Bootstrapping Hard Attention


Aug 01, 2018
Mateusz Malinowski, Carl Doersch, Adam Santoro, Peter Battaglia

* ECCV 2018 

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Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures


Jul 12, 2018
Sergey Bartunov, Adam Santoro, Blake A. Richards, Geoffrey E. Hinton, Timothy Lillicrap


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Measuring abstract reasoning in neural networks


Jul 11, 2018
David G. T. Barrett, Felix Hill, Adam Santoro, Ari S. Morcos, Timothy Lillicrap

* ICML 2018 

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Relational recurrent neural networks


Jun 28, 2018
Adam Santoro, Ryan Faulkner, David Raposo, Jack Rae, Mike Chrzanowski, Theophane Weber, Daan Wierstra, Oriol Vinyals, Razvan Pascanu, Timothy Lillicrap


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Relational Deep Reinforcement Learning


Jun 28, 2018
Vinicius Zambaldi, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, Igor Babuschkin, Karl Tuyls, David Reichert, Timothy Lillicrap, Edward Lockhart, Murray Shanahan, Victoria Langston, Razvan Pascanu, Matthew Botvinick, Oriol Vinyals, Peter Battaglia


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Hyperbolic Attention Networks


May 24, 2018
Caglar Gulcehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Peter Battaglia, Victor Bapst, David Raposo, Adam Santoro, Nando de Freitas


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Unsupervised Predictive Memory in a Goal-Directed Agent


Mar 28, 2018
Greg Wayne, Chia-Chun Hung, David Amos, Mehdi Mirza, Arun Ahuja, Agnieszka Grabska-Barwinska, Jack Rae, Piotr Mirowski, Joel Z. Leibo, Adam Santoro, Mevlana Gemici, Malcolm Reynolds, Tim Harley, Josh Abramson, Shakir Mohamed, Danilo Rezende, David Saxton, Adam Cain, Chloe Hillier, David Silver, Koray Kavukcuoglu, Matt Botvinick, Demis Hassabis, Timothy Lillicrap


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Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study


Jun 29, 2017
Samuel Ritter, David G. T. Barrett, Adam Santoro, Matt M. Botvinick

* ICML 2017 

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A simple neural network module for relational reasoning


Jun 05, 2017
Adam Santoro, David Raposo, David G. T. Barrett, Mateusz Malinowski, Razvan Pascanu, Peter Battaglia, Timothy Lillicrap


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Generative Temporal Models with Memory


Feb 21, 2017
Mevlana Gemici, Chia-Chun Hung, Adam Santoro, Greg Wayne, Shakir Mohamed, Danilo J. Rezende, David Amos, Timothy Lillicrap


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Discovering objects and their relations from entangled scene representations


Feb 16, 2017
David Raposo, Adam Santoro, David Barrett, Razvan Pascanu, Timothy Lillicrap, Peter Battaglia

* ICLR Workshop 2017 

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One-shot Learning with Memory-Augmented Neural Networks


May 19, 2016
Adam Santoro, Sergey Bartunov, Matthew Botvinick, Daan Wierstra, Timothy Lillicrap

* 13 pages, 8 figures 

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