Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Attention Privileged Reinforcement Learning For Domain Transfer

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


  Access Paper or Ask Questions

Continual Unsupervised Representation Learning

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

* NeurIPS 2019 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Learning To Follow Directions in Street View

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


  Access Paper or Ask Questions

Value constrained model-free continuous control

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Meta-Learning with Latent Embedding Optimization

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


  Access Paper or Ask Questions

Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Learning to Navigate in Complex Environments

Jan 13, 2017
Piotr Mirowski, Razvan Pascanu, Fabio Viola, Hubert Soyer, Andrew J. Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, Dharshan Kumaran, Raia Hadsell

* 11 pages, 5 appendix pages, 11 figures, 3 tables, under review as a conference paper at ICLR 2017 

  Access Paper or Ask Questions

Progressive Neural Networks

Sep 07, 2016
Andrei A. Rusu, Neil C. Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, Raia Hadsell


  Access Paper or Ask Questions