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Skillful Precipitation Nowcasting using Deep Generative Models of Radar


Apr 02, 2021
Suman Ravuri, Karel Lenc, Matthew Willson, Dmitry Kangin, Remi Lam, Piotr Mirowski, Megan Fitzsimons, Maria Athanassiadou, Sheleem Kashem, Sam Madge, Rachel Prudden, Amol Mandhane, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, Niall Robinson, Ellen Clancy, Alberto Arribas, Shakir Mohamed

* 46 pages, 17 figures, 2 tables 

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Learning rich touch representations through cross-modal self-supervision


Jan 21, 2021
Martina Zambelli, Yusuf Aytar, Francesco Visin, Yuxiang Zhou, Raia Hadsell


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S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency


Oct 13, 2020
Mel Vecerik, Jean-Baptiste Regli, Oleg Sushkov, David Barker, Rugile Pevceviciute, Thomas Rothörl, Christopher Schuster, Raia Hadsell, Lourdes Agapito, Jonathan Scholz

* 11 pages, supplementary material available at: https://sites.google.com/view/2020-s3k/home 

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Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard


Aug 06, 2020
Alex Church, John Lloyd, Raia Hadsell, Nathan F. Lepora

* Accepted in RAL and IROS 2020 

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A Distributional View on Multi-Objective Policy Optimization


May 15, 2020
Abbas Abdolmaleki, Sandy H. Huang, Leonard Hasenclever, Michael Neunert, H. Francis Song, Martina Zambelli, Murilo F. Martins, Nicolas Heess, Raia Hadsell, Martin Riedmiller


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Disentangled Cumulants Help Successor Representations Transfer to New Tasks


Nov 25, 2019
Christopher Grimm, Irina Higgins, Andre Barreto, Denis Teplyashin, Markus Wulfmeier, Tim Hertweck, Raia Hadsell, Satinder Singh


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Attention Privileged Reinforcement Learning For Domain Transfer


Nov 19, 2019
Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner


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Continual Unsupervised Representation Learning


Oct 31, 2019
Dushyant Rao, Francesco Visin, Andrei A. Rusu, Yee Whye Teh, Razvan Pascanu, Raia Hadsell

* NeurIPS 2019 

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Neural Execution of Graph Algorithms


Oct 23, 2019
Petar Veličković, 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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Stabilizing Transformers for Reinforcement Learning


Oct 13, 2019
Emilio Parisotto, H. Francis Song, Jack W. Rae, Razvan Pascanu, Caglar Gulcehre, Siddhant M. Jayakumar, Max Jaderberg, Raphael Lopez Kaufman, Aidan Clark, Seb Noury, Matthew M. Botvinick, Nicolas Heess, Raia Hadsell


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Meta-Learning with Warped Gradient Descent


Aug 30, 2019
Sebastian Flennerhag, Andrei A. Rusu, Razvan Pascanu, Hujun Yin, Raia Hadsell

* 27 pages, 11 figures, 4 tables 

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Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks


Mar 25, 2019
Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, Dmitry Kalashnikov, Alex Irpan, Julian Ibarz, Sergey Levine, Raia Hadsell, Konstantinos Bousmalis

* To be published in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019) 

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Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning


Mar 20, 2019
Sandy H. Huang, Martina Zambelli, Jackie Kay, Murilo F. Martins, Yuval Tassa, Patrick M. Pilarski, Raia Hadsell


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The StreetLearn Environment and Dataset


Mar 04, 2019
Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Denis Teplyashin, Karl Moritz Hermann, Mateusz Malinowski, Matthew Koichi Grimes, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell

* 13 pages, 6 figures, 4 tables. arXiv admin note: text overlap with arXiv:1804.00168 

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Learning To Follow Directions in Street View


Mar 01, 2019
Karl Moritz Hermann, Mateusz Malinowski, Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Raia Hadsell


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Value constrained model-free continuous control


Feb 12, 2019
Steven Bohez, Abbas Abdolmaleki, Michael Neunert, Jonas Buchli, Nicolas Heess, Raia Hadsell


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From pixels to percepts: Highly robust edge perception and contour following using deep learning and an optical biomimetic tactile sensor


Feb 06, 2019
Nathan F. Lepora, Alex Church, Conrad De Kerckhove, Raia Hadsell, John Lloyd

* Accepted in RAL and ICRA 2019. N. Lepora and J. Lloyd contributed equally to this work 

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Meta-Learning with Latent Embedding Optimization


Sep 28, 2018
Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, Raia Hadsell


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Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal


Jul 11, 2018
Jake Bruce, Niko Sünderhauf, Piotr Mirowski, Raia Hadsell, Michael Milford


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Progress & Compress: A scalable framework for continual learning


Jul 02, 2018
Jonathan Schwarz, Jelena Luketina, Wojciech M. Czarnecki, Agnieszka Grabska-Barwinska, Yee Whye Teh, Razvan Pascanu, Raia Hadsell

* Accepted at ICML 2018 

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Graph networks as learnable physics engines for inference and control


Jun 04, 2018
Alvaro Sanchez-Gonzalez, Nicolas Heess, Jost Tobias Springenberg, Josh Merel, Martin Riedmiller, Raia Hadsell, Peter Battaglia

* ICML 2018 

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Reinforcement and Imitation Learning for Diverse Visuomotor Skills


May 27, 2018
Yuke Zhu, Ziyu Wang, Josh Merel, Andrei Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool, János Kramár, Raia Hadsell, Nando de Freitas, Nicolas Heess

* 13 pages, 6 figures, Published in RSS 2018 

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Sim-to-Real Robot Learning from Pixels with Progressive Nets


May 22, 2018
Andrei A. Rusu, Mel Vecerik, Thomas Rothörl, Nicolas Heess, Razvan Pascanu, Raia Hadsell


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The Limits and Potentials of Deep Learning for Robotics


Apr 18, 2018
Niko Sünderhauf, Oliver Brock, Walter Scheirer, Raia Hadsell, Dieter Fox, Jürgen Leitner, Ben Upcroft, Pieter Abbeel, Wolfram Burgard, Michael Milford, Peter Corke


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Learning to Navigate in Cities Without a Map


Apr 17, 2018
Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell

* 13 pages, 13 figures 

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One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay


Nov 29, 2017
Jake Bruce, Niko Suenderhauf, Piotr Mirowski, Raia Hadsell, Michael Milford

* Bruce, Jake, et al. "One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay." Proceedings of the NIPS Workshop on Acting and Interacting in the Real World: Challenges in Robot Learning. 2017 
* NIPS Workshop on Acting and Interacting in the Real World: Challenges in Robot Learning 

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Distral: Robust Multitask Reinforcement Learning


Jul 13, 2017
Yee Whye Teh, Victor Bapst, Wojciech Marian Czarnecki, John Quan, James Kirkpatrick, Raia Hadsell, Nicolas Heess, Razvan Pascanu


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Overcoming catastrophic forgetting in neural networks


Jan 25, 2017
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A. Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, Raia Hadsell


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