Hadsell, Raia

36 publications

TMLR 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

TMLR 2023 Learning to Look by Self-Prediction Matthew Koichi Grimes, Joseph Varughese Modayil, Piotr W Mirowski, Dushyant Rao, Raia Hadsell

TMLR 2022 A Generalist Agent Scott Reed, Konrad Zolna, Emilio Parisotto, Sergio Gómez Colmenarejo, Alexander Novikov, Gabriel Barth-maron, Mai Giménez, 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

ICML 2022 Hindering Adversarial Attacks with Implicit Neural Representations Andrei A Rusu, Dan Andrei Calian, Sven Gowal, Raia Hadsell

ICLR 2022 Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies Dushyant Rao, Fereshteh Sadeghi, Leonard Hasenclever, Markus Wulfmeier, Martina Zambelli, Giulia Vezzani, Dhruva Tirumala, Yusuf Aytar, Josh Merel, Nicolas Heess, Raia Hadsell

NeurIPSW 2022 Learning to Look by Self-Prediction Matthew Koichi Grimes, Joseph Varughese Modayil, Piotr W Mirowski, Dushyant Rao, Raia Hadsell

CoLLAs 2022 MO2: Model-Based Offline Options Sasha Salter, Markus Wulfmeier, Dhruva Tirumala, Nicolas Heess, Martin Riedmiller, Raia Hadsell, Dushyant Rao

CoLLAs 2022 Probing Transfer in Deep Reinforcement Learning Without Task Engineering Andrei Alex Rusu, Sebastian Flennerhag, Dushyant Rao, Razvan Pascanu, Raia Hadsell

LoG 2022 Reasoning-Modulated Representations Petar Veličković, Matko Bošnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell

ICML 2022 The CLRS Algorithmic Reasoning Benchmark Petar Veličković, Adrià Puigdomènech Badia, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell

CoRL 2021 A Constrained Multi-Objective Reinforcement Learning Framework Sandy Huang, Abbas Abdolmaleki, Giulia Vezzani, Philemon Brakel, Daniel J. Mankowitz, Michael Neunert, Steven Bohez, Yuval Tassa, Nicolas Heess, Martin Riedmiller, Raia Hadsell

CoRL 2021 Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes Alex X. Lee, Coline Manon Devin, Yuxiang Zhou, Thomas Lampe, Konstantinos Bousmalis, Jost Tobias Springenberg, Arunkumar Byravan, Abbas Abdolmaleki, Nimrod Gileadi, David Khosid, Claudio Fantacci, Jose Enrique Chen, Akhil Raju, Rae Jeong, Michael Neunert, Antoine Laurens, Stefano Saliceti, Federico Casarini, Martin Riedmiller, Raia Hadsell, Francesco Nori

NeurIPSW 2021 Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies Dushyant Rao, Fereshteh Sadeghi, Leonard Hasenclever, Markus Wulfmeier, Martina Zambelli, Giulia Vezzani, Dhruva Tirumala, Yusuf Aytar, Josh Merel, Nicolas Heess, Raia Hadsell

CoRL 2021 Tactile Sim-to-Real Policy Transfer via Real-to-Sim Image Translation Alex Church, John Lloyd, Raia Hadsell, Nathan F. Lepora

ICML 2020 A Distributional View on Multi-Objective Policy Optimization Abbas Abdolmaleki, Sandy Huang, Leonard Hasenclever, Michael Neunert, Francis Song, Martina Zambelli, Murilo Martins, Nicolas Heess, Raia Hadsell, Martin Riedmiller

CoRL 2020 Attention-Privileged Reinforcement Learning Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner

ICML 2020 CoMic: Complementary Task Learning & Mimicry for Reusable Skills Leonard Hasenclever, Fabio Pardo, Raia Hadsell, Nicolas Heess, Josh Merel

CoRL 2020 Learning Rich Touch Representations Through Cross-Modal Self-Supervision Martina Zambelli, Yusuf Aytar, Francesco Visin, Yuxiang Zhou, Raia Hadsell

AAAI 2020 Learning to Follow Directions in Street View Karl Moritz Hermann, Mateusz Malinowski, Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Raia Hadsell

ICLR 2020 Meta-Learning with Warped Gradient Descent Sebastian Flennerhag, Andrei A. Rusu, Razvan Pascanu, Francesco Visin, Hujun Yin, Raia Hadsell

ICLR 2020 Neural Execution of Graph Algorithms Petar Veličković, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell

CoRL 2020 S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency Mel Vecerik, Jean-Baptiste Regli, Oleg Sushkov, David Barker, Rugile Pevceviciute, Thomas Rothörl, Raia Hadsell, Lourdes Agapito, Jonathan Scholz

ICML 2020 Stabilizing Transformers for Reinforcement Learning Emilio Parisotto, Francis Song, Jack Rae, Razvan Pascanu, Caglar Gulcehre, Siddhant Jayakumar, Max Jaderberg, Raphaël Lopez Kaufman, Aidan Clark, Seb Noury, Matthew Botvinick, Nicolas Heess, Raia Hadsell

NeurIPS 2019 Continual Unsupervised Representation Learning Dushyant Rao, Francesco Visin, Andrei Rusu, Razvan Pascanu, Yee Whye Teh, Raia Hadsell

ICLR 2019 Meta-Learning with Latent Embedding Optimization Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, Raia Hadsell

ICML 2018 Graph Networks as Learnable Physics Engines for Inference and Control Alvaro Sanchez-Gonzalez, Nicolas Heess, Jost Tobias Springenberg, Josh Merel, Martin Riedmiller, Raia Hadsell, Peter Battaglia

CoRL 2018 Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal Jake Bruce, Niko Sünderhauf, Piotr Mirowski, Raia Hadsell, Michael Milford

NeurIPS 2018 Learning to Navigate in Cities Without a mAP Piotr Mirowski, Matt Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell

ICML 2018 Progress & Compress: A Scalable Framework for Continual Learning Jonathan Schwarz, Wojciech Czarnecki, Jelena Luketina, Agnieszka Grabska-Barwinska, Yee Whye Teh, Razvan Pascanu, Raia Hadsell

NeurIPS 2017 Distral: Robust Multitask Reinforcement Learning Yee Teh, Victor Bapst, Wojciech M. Czarnecki, John Quan, James Kirkpatrick, Raia Hadsell, Nicolas Heess, Razvan Pascanu

ICLR 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

CoRL 2017 Sim-to-Real Robot Learning from Pixels with Progressive Nets Andrei A. Rusu, Matej Vecerík, Thomas Rothörl, Nicolas Heess, Razvan Pascanu, Raia Hadsell

ICLR 2016 Policy Distillation Andrei A. Rusu, Sergio Gomez Colmenarejo, Çaglar Gülçehre, Guillaume Desjardins, James Kirkpatrick, Razvan Pascanu, Volodymyr Mnih, Koray Kavukcuoglu, Raia Hadsell

CVPR 2011 High-Precision Localization Using Visual Landmarks Fused with Range Data Zhiwei Zhu, Han-Pang Chiu, Taragay Oskiper, Saad Ali, Raia Hadsell, Supun Samarasekera, Rakesh Kumar

CVPR 2006 Dimensionality Reduction by Learning an Invariant Mapping Raia Hadsell, Sumit Chopra, Yann LeCun

CVPR 2005 Learning a Similarity Metric Discriminatively, with Application to Face Verification Sumit Chopra, Raia Hadsell, Yann LeCun