Selected Publications (for complete list see google scholar)
- Learning agile soccer skills for a bipedal robot with deep reinforcement learning Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H Huang, Dhruva Tirumala, Jan Humplik, Markus Wulfmeier, Saran Tunyasuvunakool, Noah Y Siegel, Roland Hafner, Michael Bloesch, Kristian Hartikainen, Arunkumar Byravan, Leonard Hasenclever, Yuval Tassa, Fereshteh Sadeghi, Nathan Batchelor, Federico Casarini, Stefano Saliceti, Charles Game, Neil Sreendra, Kushal Patel, Marlon Gwira, Andrea Huber, Nicole Hurley, Francesco Nori, Raia Hadsell, Nicolas Heess
Science Robotics, 9 (89), 2024 - RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Manon Devin, Alex X Lee, Maria Bauza Villalonga, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo Fernandes Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe, Emilio Parisotto, Konrad Zolna, Scott Reed, Sergio Gómez Colmenarejo, Jonathan Scholz, Abbas Abdolmaleki, Oliver Groth, Jean-Baptiste Regli, Oleg Sushkov, Thomas Rothörl, Jose Enrique Chen, Yusuf Aytar, David Barker, Joy Ortiz, Martin Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess
Transactions on Machine Learning, 2023 - Barkour: Benchmarking animal-level agility with quadruped robots Ken Caluwaerts, Atil Iscen, J Chase Kew, Wenhao Yu, Tingnan Zhang, Daniel Freeman, Kuang-Huei Lee, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, Jose Enrique Chen, Omar Cortes, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Edward Lee, Linda Luu, Ofir Nachum, Ken Oslund, Jason Powell, Diego Reyes, Francesco Romano, Feresteh Sadeghi, Ron Sloat, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan
arXiv:2305.14654, 2023 - The CLRS algorithmic reasoning benchmark Petar Veličković, Adrià Puigdomènech Badia, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell
ICML, 2022 - A generalist agent Scott Reed, Konrad Zolna, Emilio Parisotto, Sergio Gomez Colmenarejo, Alexander Novikov, Gabriel Barth-Maron, Mai Gimenez, Yury Sulsky, Jackie Kay, Jost Tobias Springenberg, Tom Eccles, Jake Bruce, Ali Razavi, Ashley Edwards, Nicolas Heess, Yutian Chen, Raia Hadsell, Oriol Vinyals, Mahyar Bordbar, Nando de Freitas
Transactions on Machine Learning, 2022 - Skilful precipitation nowcasting using deep generative models of radar 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
Nature, 2021 - Embracing change: Continual learning in deep neural networks Raia Hadsell, Dushyant Rao, Andrei A Rusu, Razvan Pascanu
Trends in Cognitive Science, 2020 - Stabilizing transformers for reinforcement learning Emilio Parisotto, Francis Song, Jack Rae, Razvan Pascanu, Caglar Gulcehre, Siddhant Jayakumar, Max Jaderberg, Raphael Lopez Kaufman, Aidan Clark, Seb Noury, Matthew Botvinick, Nicolas Heess, Raia Hadsell
ICML, 2020 - Learning to Navigate in Cities Without a Map Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell
arxiv:1804.00168, 2018 - Reinforcement and Imitation Learning for Diverse Visuomotor Skills Yuke Zhu, Ziyu Wang, Josh Merel, Andrei Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool, János Kramár, Raia Hadsell, Nando de Freitas, Nicolas Heess
Robots: Science and Systems (RSS), 2018 - Distral: Robust multitask reinforcement learning Yee Whye Teh, Victor Bapst, Wojciech Marian Czarnecki, John Quan, James Kirkpatrick, Raia Hadsell, Nicolas Heess, Razvan Pascanu
Neural Information Processing Systems (NIPS), 2017 - Learning to navigate in complex environments Piotr Mirowski, Razvan Pascanu, Fabio Viola, Hubert Soyer, Andy Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, Dharshan Kumaran, Raia Hadsell.
International Conference on Learning Representations (ICLR), 2017 - Overcoming catastrophic forgetting in neural networks 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.
Proceedings of the National Academy of Sciences 114 (13), 3521-3526, 2016 - Sim-to-real robot learning from pixels with progressive nets Andrei A Rusu, Matej Vecerik, Thomas Rothörl, Nicolas Heess, Razvan Pascanu, Raia Hadsell.
arXiv:1610.04286, 2016 - Progressive neural networks Andrei A Rusu, Neil C Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, Raia Hadsell.
arXiv:1606.04671, 2016 - Policy distillation Andrei A Rusu, Sergio Gomez Colmenarejo, Caglar Gulcehre, Guillaume Desjardins, James Kirkpatrick, Razvan Pascanu, Volodymyr Mnih, Koray Kavukcuoglu, Raia Hadsell.
International Conference on Learning Representations (ICLR), 2016 - Complex Terrain Mapping with Multi-Camera Visual Odometry and Realtime Drift Correction Raia Hadsell, Bogdan Matei, Garbis Salgian, Aveek Das, Taragay Oskiper, Supun Samarasekera.
3D Imaging and Modeling (3DIM), 2012 - Long-range pedestrian detection using stereo and a cascade of convolutional network classifiers Zsolt Kira, Raia Hadsell, Garbis Salgian, Supun Samarasekera.
Intelligent Robots and Systems (IROS), 2012 - Unsupervised topic modeling for leader detection in spoken discourse Raia Hadsell, Zsolt Kira, Wen Wang, Kristin Precoda.
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012 - Space-carving kernels for accurate rough terrain estimation Raia Hadsell, J Andrew Bagnell, Daniel Huber, Martial Hebert.
International Journal of Robotics Research, 2010 - Learning long‐range vision for autonomous off‐road driving Raia Hadsell, Pierre Sermanet, Jan Ben, Ayse Erkan, Marco Scoffier, Koray Kavukcuoglu, Urs Muller, Yann LeCun.
Journal of Field Robotics, 2009 - Deep belief net learning in a long-range vision system for autonomous off-road driving Raia Hadsell, Ayse Erkan, Pierre Sermanet, Marco Scoffier, Urs Muller, Yann LeCun.
Intelligent Robots and Systems (IROS), 2008 - Online learning for offroad robots: Using spatial label propagation to learn long-range traversability Raia Hadsell, Pierre Sermanet, Jan Ben, A Erkan, Jeff Han, Beat Flepp, Urs Muller, Yann LeCun.
Robotics: Science and Systems (RSS), 2007 - A tutorial on energy-based learning Yann LeCun, Sumit Chopra, Raia Hadsell, M Ranzato, F Huang.
In Predicting Structured Data, 2006 - Dimensionality reduction by learning an invariant mapping Raia Hadsell, Sumit Chopra, Yann LeCun.
Computer Vision and Pattern Recognition (CVPR), 2006 - Learning a similarity metric discriminatively, with application to face verification Sumit Chopra, Raia Hadsell, Yann LeCun.
Computer Vision and Pattern Recognition (CVPR), 2005