Raia Hadsell - RankMe

112 papers A* 20A 6Misc 10Journal 60Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficiently Reconstructing Dynamic Scenes One D4RT at a Time. CoRR Chuhan Zhang, Guillaume Le Moing, Skanda Koppula, Ignacio Rocco, Liliane Momeni, Junyu Xie, Shuyang Sun, Rahul Sukthankar, Joëlle K. Barral, Raia Hadsell, Zoubin Ghahramani, Andrew Zisserman, Junlin Zhang, Mehdi S. M. Sajjadi
2024	J	`jnl`	Learning agile soccer skills for a bipedal robot with deep reinforcement learning. Sci. Robotics 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
2024	J	`jnl`	RecurrentGemma: Moving Past Transformers for Efficient Open Language Models. CoRR Aleksandar Botev, Soham De, Samuel L. Smith, Anushan Fernando, George-Cristian Muraru, Ruba Haroun, Leonard Berrada, Razvan Pascanu, Pier Giuseppe Sessa, Robert Dadashi, Léonard Hussenot, Johan Ferret, Sertan Girgin, Olivier Bachem, Alek Andreev, Kathleen Kenealy, Thomas Mesnard, Cassidy Hardin, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, Pouya Tafti, Armand Joulin, Noah Fiedel, Evan Senter, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, David Budden, Arnaud Doucet, Sharad Vikram, Adam Paszke, Trevor Gale, Sebastian Borgeaud, Charlie Chen, Andy Brock, Antonia Paterson, Jenny Brennan, Meg Risdal, Raj Gundluru, Nesh Devanathan, Paul Mooney, Nilay Chauhan, Phil Culliton, Luiz Gustavo Martins, Elisa Bandy, David Huntsperger, Glenn Cameron, Arthur Zucker, Tris Warkentin, Ludovic Peran, Minh Giang, Zoubin Ghahramani, Clément Farabet, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Yee Whye Teh, Nando de Frietas
2024	J	`jnl`	RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation. Trans. Mach. Learn. Res. Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Manon Devin, Alex X. Lee, Maria Bauzá 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 E. Reed, Sergio Gómez Colmenarejo, Jon Scholz, Abbas Abdolmaleki, Oliver Groth, Jean-Baptiste Regli, Oleg Sushkov, Thomas Rothörl, José Enrique Chen, Yusuf Aytar, Dave Barker, Joy Ortiz, Martin A. Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess
2024	A*	`conf`	RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation. ICRA Mel Vecerík, Carl Doersch, Yi Yang, Todor Davchev, Yusuf Aytar, Guangyao Zhou, Raia Hadsell, Lourdes Agapito, Jon Scholz
2024	A	`conf`	The Design of the Barkour Benchmark for Robot Agility. IROS Wenhao Yu, Ken Caluwaerts, Atil Iscen, J. Chase Kew, Tingnan Zhang, Daniel Freeman, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, José Enrique Chen, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Ofir Nachum, Ken Oslund, Francesco Romano, Fereshteh Sadeghi, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan, Kuang-Huei Lee
2023	J	`jnl`	Barkour: Benchmarking Animal-level Agility with Quadruped Robots. CoRR 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, José Enrique Chen, Omar Cortes, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Linda Luu, Ofir Nachum, Ken Oslund, Jason Powell, Diego Reyes, Francesco Romano, Fereshteh 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
2023	J	`jnl`	Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning. CoRR Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H. Huang, Dhruva Tirumala, Markus Wulfmeier, Jan Humplik, 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
2023	J	`jnl`	Learning to Look by Self-Prediction. Trans. Mach. Learn. Res. Matthew Koichi Grimes, Joseph Modayil, Piotr W. Mirowski, Dushyant Rao, Raia Hadsell
2023	J	`jnl`	RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation. CoRR Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Devin, Alex X. Lee, Maria Bauzá, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo F. Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe, Emilio Parisotto, Konrad Zolna, Scott E. Reed, Sergio Gómez Colmenarejo, Jon Scholz, Abbas Abdolmaleki, Oliver Groth, Jean-Baptiste Regli, Oleg Sushkov, Thomas Rothörl, José Enrique Chen, Yusuf Aytar, Dave Barker, Joy Ortiz, Martin A. Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess
2023	J	`jnl`	RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation. CoRR Mel Vecerík, Carl Doersch, Yi Yang, Todor Davchev, Yusuf Aytar, Guangyao Zhou, Raia Hadsell, Lourdes Agapito, Jon Scholz
2022	J	`jnl`	A Generalist Agent. CoRR Scott E. 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
2022	J	`jnl`	A Generalist Agent. Trans. Mach. Learn. Res. Scott E. Reed, Konrad Zolna, Emilio Parisotto, Sergio Gómez 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
2022	A*	`conf`	Few-Shot Keypoint Detection as Task Adaptation via Latent Embeddings. ICRA Mel Vecerík, Jackie Kay, Raia Hadsell, Lourdes Agapito, Jon Scholz
2022	A*	`conf`	Hindering Adversarial Attacks with Implicit Neural Representations. ICML Andrei A. Rusu, Dan Andrei Calian, Sven Gowal, Raia Hadsell
2022	J	`jnl`	Hindering Adversarial Attacks with Implicit Neural Representations. CoRR Andrei A. Rusu, Dan A. Calian, Sven Gowal, Raia Hadsell
2022	J	`jnl`	Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors. CoRR Steven Bohez, Saran Tunyasuvunakool, Philemon Brakel, Fereshteh Sadeghi, Leonard Hasenclever, Yuval Tassa, Emilio Parisotto, Jan Humplik, Tuomas Haarnoja, Roland Hafner, Markus Wulfmeier, Michael Neunert, Ben Moran, Noah Y. Siegel, Andrea Huber, Francesco Romano, Nathan Batchelor, Federico Casarini, Josh Merel, Raia Hadsell, Nicolas Heess
2022	A*	`conf`	Learning transferable motor skills with hierarchical latent mixture policies. ICLR Dushyant Rao, Fereshteh Sadeghi, Leonard Hasenclever, Markus Wulfmeier, Martina Zambelli, Giulia Vezzani, Dhruva Tirumala, Yusuf Aytar, Josh Merel, Nicolas Heess, Raia Hadsell
2022	—	`conf`	MO2: Model-Based Offline Options. CoLLAs Sasha Salter, Markus Wulfmeier, Dhruva Tirumala, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell, Dushyant Rao
2022	J	`jnl`	MO2: Model-Based Offline Options. CoRR Sasha Salter, Markus Wulfmeier, Dhruva Tirumala, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell, Dushyant Rao
2022	—	`conf`	Probing Transfer in Deep Reinforcement Learning without Task Engineering. CoLLAs Andrei Alex Rusu, Sebastian Flennerhag, Dushyant Rao, Razvan Pascanu, Raia Hadsell
2022	J	`jnl`	Probing Transfer in Deep Reinforcement Learning without Task Engineering. CoRR Andrei A. Rusu, Sebastian Flennerhag, Dushyant Rao, Razvan Pascanu, Raia Hadsell
2022	—	`conf`	Reasoning-Modulated Representations. LoG Petar Velickovic, Matko Bosnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell
2022	A*	`conf`	The CLRS Algorithmic Reasoning Benchmark. ICML Petar Velickovic, Adrià Puigdomènech Badia, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell
2022	J	`jnl`	The CLRS Algorithmic Reasoning Benchmark. CoRR Petar Velickovic, Adrià Puigdomènech Badia, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell
2021	Misc	`conf`	A Constrained Multi-Objective Reinforcement Learning Framework. CoRL Sandy H. Huang, Abbas Abdolmaleki, Giulia Vezzani, Philemon Brakel, Daniel J. Mankowitz, Michael Neunert, Steven Bohez, Yuval Tassa, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell
2021	Misc	`conf`	Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes. CoRL 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, José Enrique Chen, Akhil Raju, Rae Jeong, Michael Neunert, Antoine Laurens, Stefano Saliceti, Federico Casarini, Martin A. Riedmiller, Raia Hadsell, Francesco Nori
2021	J	`jnl`	Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes. CoRR Alex X. Lee, Coline Devin, Yuxiang Zhou, Thomas Lampe, Konstantinos Bousmalis, Jost Tobias Springenberg, Arunkumar Byravan, Abbas Abdolmaleki, Nimrod Gileadi, David Khosid, Claudio Fantacci, José Enrique Chen, Akhil Raju, Rae Jeong, Michael Neunert, Antoine Laurens, Stefano Saliceti, Federico Casarini, Martin A. Riedmiller, Raia Hadsell, Francesco Nori
2021	J	`jnl`	Few-Shot Keypoint Detection as Task Adaptation via Latent Embeddings. CoRR Mel Vecerík, Jackie Kay, Raia Hadsell, Lourdes Agapito, Jon Scholz
2021	J	`jnl`	Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies. CoRR Dushyant Rao, Fereshteh Sadeghi, Leonard Hasenclever, Markus Wulfmeier, Martina Zambelli, Giulia Vezzani, Dhruva Tirumala, Yusuf Aytar, Josh Merel, Nicolas Heess, Raia Hadsell
2021	J	`jnl`	Learning rich touch representations through cross-modal self-supervision. CoRR Martina Zambelli, Yusuf Aytar, Francesco Visin, Yuxiang Zhou, Raia Hadsell
2021	J	`jnl`	On Multi-objective Policy Optimization as a Tool for Reinforcement Learning. CoRR Abbas Abdolmaleki, Sandy H. Huang, Giulia Vezzani, Bobak Shahriari, Jost Tobias Springenberg, Shruti Mishra, Dhruva TB, Arunkumar Byravan, Konstantinos Bousmalis, András György, Csaba Szepesvári, Raia Hadsell, Nicolas Heess, Martin A. Riedmiller
2021	J	`jnl`	Optical Tactile Sim-to-Real Policy Transfer via Real-to-Sim Tactile Image Translation. CoRR Alex Church, John Lloyd, Raia Hadsell, Nathan F. Lepora
2021	J	`jnl`	Reasoning-Modulated Representations. CoRR Petar Velickovic, Matko Bosnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell
2021	J	`jnl`	Skilful precipitation nowcasting using deep generative models of radar. Nat. Suman V. Ravuri, Karel Lenc, Matthew Willson, Dmitry Kangin, Rémi Lam, Piotr Mirowski, Megan Fitzsimons, Maria Athanassiadou, Sheleem Kashem, Sam Madge, Rachel Prudden, Amol Mandhane, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, Niall H. Robinson, Ellen Clancy, Alberto Arribas, Shakir Mohamed
2021	J	`jnl`	Skillful Precipitation Nowcasting using Deep Generative Models of Radar. CoRR Suman V. Ravuri, Karel Lenc, Matthew Willson, Dmitry Kangin, Rémi Lam, Piotr Mirowski, Megan Fitzsimons, Maria Athanassiadou, Sheleem Kashem, Sam Madge, Rachel Prudden, Amol Mandhane, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, Niall H. Robinson, Ellen Clancy, Alberto Arribas, Shakir Mohamed
2021	Misc	`conf`	Tactile Sim-to-Real Policy Transfer via Real-to-Sim Image Translation. CoRL Alex Church, John Lloyd, Raia Hadsell, Nathan F. Lepora
2020	J	`jnl`	A Distributional View on Multi-Objective Policy Optimization. CoRR Abbas Abdolmaleki, Sandy H. Huang, Leonard Hasenclever, Michael Neunert, H. Francis Song, Martina Zambelli, Murilo F. Martins, Nicolas Heess, Raia Hadsell, Martin A. Riedmiller
2020	A*	`conf`	A distributional view on multi-objective policy optimization. ICML Abbas Abdolmaleki, Sandy H. Huang, Leonard Hasenclever, Michael Neunert, H. Francis Song, Martina Zambelli, Murilo F. Martins, Nicolas Heess, Raia Hadsell, Martin A. Riedmiller
2020	A*	`ed.`	Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. NeurIPS Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, Hsuan-Tien Lin
2020	Misc	`conf`	Attention-Privileged Reinforcement Learning. CoRL Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner
2020	A*	`conf`	CoMic: Complementary Task Learning & Mimicry for Reusable Skills. ICML Leonard Hasenclever, Fabio Pardo, Raia Hadsell, Nicolas Heess, Josh Merel
2020	J	`jnl`	Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard. CoRR Alex Church, John Lloyd, Raia Hadsell, Nathan F. Lepora
2020	J	`jnl`	Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard. IEEE Robotics Autom. Lett. Alex Church, John Lloyd, Raia Hadsell, Nathan F. Lepora
2020	Misc	`conf`	Learning rich touch representations through cross-modal self-supervision. CoRL Martina Zambelli, Yusuf Aytar, Francesco Visin, Yuxiang Zhou, Raia Hadsell
2020	A*	`conf`	Learning to Follow Directions in Street View. AAAI Karl Moritz Hermann, Mateusz Malinowski, Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Raia Hadsell
2020	A*	`conf`	Meta-Learning with Warped Gradient Descent. ICLR Sebastian Flennerhag, Andrei A. Rusu, Razvan Pascanu, Francesco Visin, Hujun Yin, Raia Hadsell
2020	A*	`conf`	Neural Execution of Graph Algorithms. ICLR Petar Velickovic, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell
2020	Misc	`conf`	S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency. CoRL Mel Vecerík, Jean-Baptiste Regli, Oleg Sushkov, David Barker, Rugile Pevceviciute, Thomas Rothörl, Raia Hadsell, Lourdes Agapito, Jonathan Scholz
2020	J	`jnl`	S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency. CoRR Mel Vecerík, Jean-Baptiste Regli, Oleg Sushkov, David Barker, Rugile Pevceviciute, Thomas Rothörl, Christopher Schuster, Raia Hadsell, Lourdes Agapito, Jonathan Scholz
2020	A*	`conf`	Stabilizing Transformers for Reinforcement Learning. ICML Emilio Parisotto, H. Francis Song, Jack W. Rae, Razvan Pascanu, Çaglar Gülçehre, Siddhant M. Jayakumar, Max Jaderberg, Raphaël Lopez Kaufman, Aidan Clark, Seb Noury, Matthew M. Botvinick, Nicolas Heess, Raia Hadsell
2019	J	`jnl`	Attention Privileged Reinforcement Learning For Domain Transfer. CoRR Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner
2019	A	`conf`	Challenges for learning in complex environments. GECCO Raia Hadsell
2019	A*	`conf`	Continual Unsupervised Representation Learning. NeurIPS Dushyant Rao, Francesco Visin, Andrei A. Rusu, Razvan Pascanu, Yee Whye Teh, Raia Hadsell
2019	J	`jnl`	Continual Unsupervised Representation Learning. CoRR Dushyant Rao, Francesco Visin, Andrei A. Rusu, Yee Whye Teh, Razvan Pascanu, Raia Hadsell
2019	J	`jnl`	Disentangled Cumulants Help Successor Representations Transfer to New Tasks. CoRR Christopher Grimm, Irina Higgins, André Barreto, Denis Teplyashin, Markus Wulfmeier, Tim Hertweck, Raia Hadsell, Satinder Singh
2019	J	`jnl`	From Pixels to Percepts: Highly Robust Edge Perception and Contour Following Using Deep Learning and an Optical Biomimetic Tactile Sensor. IEEE Robotics Autom. Lett. Nathan F. Lepora, Alex Church, Conrad De Kerckhove, Raia Hadsell, John Lloyd
2019	J	`jnl`	Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning. CoRR Sandy H. Huang, Martina Zambelli, Jackie Kay, Murilo F. Martins, Yuval Tassa, Patrick M. Pilarski, Raia Hadsell
2019	J	`jnl`	Learning To Follow Directions in Street View. CoRR Karl Moritz Hermann, Mateusz Malinowski, Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Raia Hadsell
2019	—	`conf`	Meta-Learning with Latent Embedding Optimization. ICLR (Poster) Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, Raia Hadsell
2019	J	`jnl`	Meta-Learning with Warped Gradient Descent. CoRR Sebastian Flennerhag, Andrei A. Rusu, Razvan Pascanu, Hujun Yin, Raia Hadsell
2019	—	`conf`	NeurIPS 2019 Competition and Demonstration Track Revised selected papers. NeurIPS (Competition and Demos) Hugo Jair Escalante, Raia Hadsell
2019	—	`ed.`	NeurIPS 2019 Competition and Demonstration Track, 8-14 December 2019, Vancouver, Canada. Revised selected papers. NeurIPS (Competition and Demos) Hugo Jair Escalante, Raia Hadsell
2019	J	`jnl`	Neural Execution of Graph Algorithms. CoRR Petar Velickovic, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell
2019	A*	`conf`	Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks. CVPR Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, Dmitry Kalashnikov, Alex Irpan, Julian Ibarz, Sergey Levine, Raia Hadsell, Konstantinos Bousmalis
2019	J	`jnl`	Stabilizing Transformers for Reinforcement Learning. CoRR Emilio Parisotto, H. Francis Song, Jack W. Rae, Razvan Pascanu, Çaglar Gülçehre, Siddhant M. Jayakumar, Max Jaderberg, Raphael Lopez Kaufman, Aidan Clark, Seb Noury, Matthew M. Botvinick, Nicolas Heess, Raia Hadsell
2019	J	`jnl`	The StreetLearn Environment and Dataset. CoRR 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
2019	J	`jnl`	Value constrained model-free continuous control. CoRR Steven Bohez, Abbas Abdolmaleki, Michael Neunert, Jonas Buchli, Nicolas Heess, Raia Hadsell
2018	J	`jnl`	From pixels to percepts: Highly robust edge perception and contour following using deep learning and an optical biomimetic tactile sensor. CoRR Nathan F. Lepora, Alex Church, Conrad De Kerckhove, Raia Hadsell, John Lloyd
2018	A*	`conf`	Graph Networks as Learnable Physics Engines for Inference and Control. ICML Alvaro Sanchez-Gonzalez, Nicolas Heess, Jost Tobias Springenberg, Josh Merel, Martin A. Riedmiller, Raia Hadsell, Peter W. Battaglia
2018	J	`jnl`	Graph networks as learnable physics engines for inference and control. CoRR Alvaro Sanchez-Gonzalez, Nicolas Heess, Jost Tobias Springenberg, Josh Merel, Martin A. Riedmiller, Raia Hadsell, Peter W. Battaglia
2018	Misc	`conf`	Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal. CoRL Jake Bruce, Niko Sünderhauf, Piotr Mirowski, Raia Hadsell, Michael Milford
2018	J	`jnl`	Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal. CoRR Jake Bruce, Niko Sünderhauf, Piotr Mirowski, Raia Hadsell, Michael Milford
2018	A*	`conf`	Learning to Navigate in Cities Without a Map. NeurIPS Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell
2018	J	`jnl`	Learning to Navigate in Cities Without a Map. CoRR Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell
2018	J	`jnl`	Meta-Learning with Latent Embedding Optimization. CoRR Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, Raia Hadsell
2018	A*	`conf`	Progress & Compress: A scalable framework for continual learning. ICML Jonathan Schwarz, Wojciech Czarnecki, Jelena Luketina, Agnieszka Grabska-Barwinska, Yee Whye Teh, Razvan Pascanu, Raia Hadsell
2018	J	`jnl`	Progress & Compress: A scalable framework for continual learning. CoRR Jonathan Schwarz, Jelena Luketina, Wojciech M. Czarnecki, Agnieszka Grabska-Barwinska, Yee Whye Teh, Razvan Pascanu, Raia Hadsell
2018	—	`conf`	Reinforcement and Imitation Learning for Diverse Visuomotor Skills. Robotics: Science and Systems Yuke Zhu, Ziyu Wang, Josh Merel, Andrei A. Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool, János Kramár, Raia Hadsell, Nando de Freitas, Nicolas Heess
2018	J	`jnl`	Reinforcement and Imitation Learning for Diverse Visuomotor Skills. CoRR Yuke Zhu, Ziyu Wang, Josh Merel, Andrei A. Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool, János Kramár, Raia Hadsell, Nando de Freitas, Nicolas Heess
2018	J	`jnl`	Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks. CoRR Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, Dmitry Kalashnikov, Alex Irpan, Julian Ibarz, Sergey Levine, Raia Hadsell, Konstantinos Bousmalis
2018	J	`jnl`	The Limits and Potentials of Deep Learning for Robotics. CoRR Niko Sünderhauf, Oliver Brock, Walter J. Scheirer, Raia Hadsell, Dieter Fox, Jürgen Leitner, Ben Upcroft, Pieter Abbeel, Wolfram Burgard, Michael Milford, Peter Corke
2018	J	`jnl`	The limits and potentials of deep learning for robotics. Int. J. Robotics Res. Niko Sünderhauf, Oliver Brock, Walter J. Scheirer, Raia Hadsell, Dieter Fox, Jürgen Leitner, Ben Upcroft, Pieter Abbeel, Wolfram Burgard, Michael Milford, Peter Corke
2018	J	`jnl`	Vector-based navigation using grid-like representations in artificial agents. Nat. Andrea Banino, Caswell Barry, Benigno Uria, Charles Blundell, Timothy P. Lillicrap, Piotr Mirowski, Alexander Pritzel, Martin J. Chadwick, Thomas Degris, Joseph Modayil, Greg Wayne, Hubert Soyer, Fabio Viola, Brian Zhang, Ross Goroshin, Neil C. Rabinowitz, Razvan Pascanu, Charlie Beattie, Stig Petersen, Amir Sadik, Stephen Gaffney, Helen King, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Dharshan Kumaran
2017	J	`jnl`	Distral: Robust Multitask Reinforcement Learning. CoRR Yee Whye Teh, Victor Bapst, Wojciech Marian Czarnecki, John Quan, James Kirkpatrick, Raia Hadsell, Nicolas Heess, Razvan Pascanu
2017	—	`conf`	Distral: Robust multitask reinforcement learning. NIPS Yee Whye Teh, Victor Bapst, Wojciech M. Czarnecki, John Quan, James Kirkpatrick, Raia Hadsell, Nicolas Heess, Razvan Pascanu
2017	—	`conf`	Learning to Navigate in Complex Environments. ICLR (Poster) Piotr Mirowski, Razvan Pascanu, Fabio Viola, Hubert Soyer, Andy Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, Dharshan Kumaran, Raia Hadsell
2017	J	`jnl`	One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay. CoRR Jake Bruce, Niko Sünderhauf, Piotr Mirowski, Raia Hadsell, Michael Milford
2017	Misc	`conf`	Sim-to-Real Robot Learning from Pixels with Progressive Nets. CoRL Andrei A. Rusu, Matej Vecerík, Thomas Rothörl, Nicolas Heess, Razvan Pascanu, Raia Hadsell
2016	J	`jnl`	Learning to Navigate in Complex Environments. CoRR 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
2016	J	`jnl`	Overcoming catastrophic forgetting in neural networks. CoRR James Kirkpatrick, Razvan Pascanu, Neil C. 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
2016	A*	`conf`	Policy Distillation. ICLR (Poster) Andrei A. Rusu, Sergio Gomez Colmenarejo, Çaglar Gülçehre, Guillaume Desjardins, James Kirkpatrick, Razvan Pascanu, Volodymyr Mnih, Koray Kavukcuoglu, Raia Hadsell
2016	J	`jnl`	Progressive Neural Networks. CoRR Andrei A. Rusu, Neil C. Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, Raia Hadsell
2016	J	`jnl`	Sim-to-Real Robot Learning from Pixels with Progressive Nets. CoRR Andrei A. Rusu, Matej Vecerík, Thomas Rothörl, Nicolas Heess, Razvan Pascanu, Raia Hadsell
2012	—	`conf`	Complex Terrain Mapping with Multi-camera Visual Odometry and Realtime Drift Correction. 3DIMPVT Raia Hadsell, Bogdan Matei, Garbis Salgian, Aveek Das, Taragay Oskiper, Supun Samarasekera
2012	Misc	`conf`	Detecting leadership and cohesion in spoken interactions. ICASSP Wen Wang, Kristin Precoda, Raia Hadsell, Zsolt Kira, Colleen Richey, Gabriel Jiva
2012	A	`conf`	Long-Range Pedestrian Detection using stereo and a cascade of convolutional network classifiers. IROS Zsolt Kira, Raia Hadsell, Garbis Salgian, Supun Samarasekera
2012	—	`conf`	Multi-modal pedestrian detection on the move. TePRA Zsolt Kira, Ben Southall, Sujit Kuthirummal, Bogdan Matei, Raia Hadsell, Jayan Eledath
2012	Misc	`conf`	Unsupervised topic modeling for leader detection in spoken discourse. ICASSP Raia Hadsell, Zsolt Kira, Wen Wang, Kristin Precoda
2011	A*	`conf`	High-precision localization using visual landmarks fused with range data. CVPR Zhiwei Zhu, Han-Pang Chiu, Taragay Oskiper, Saad Ali, Raia Hadsell, Supun Samarasekera, Rakesh Kumar
2010	J	`jnl`	Space-carving Kernels for Accurate Rough Terrain Estimation. Int. J. Robotics Res. Raia Hadsell, J. Andrew Bagnell, Daniel F. Huber, Martial Hebert
2009	J	`jnl`	A multirange architecture for collision-free off-road robot navigation. J. Field Robotics Pierre Sermanet, Raia Hadsell, Marco Scoffier, Matthew Grimes, Jan Ben, Ayse Erkan, Chris Crudele, Urs Miller, Yann LeCun
2009	—	`conf`	Accurate rough terrain estimation with space-carving kernels. Robotics: Science and Systems Raia Hadsell, J. Andrew Bagnell, Daniel F. Huber, Martial Hebert
2009	J	`jnl`	Learning long-range vision for autonomous off-road driving. J. Field Robotics Raia Hadsell, Pierre Sermanet, Jan Ben, Ayse Erkan, Marco Scoffier, Koray Kavukcuoglu, Urs Muller, Yann LeCun
2008	A	`conf`	Deep belief net learning in a long-range vision system for autonomous off-road driving. IROS Raia Hadsell, Ayse Erkan, Pierre Sermanet, Marco Scoffier, Urs Muller, Yann LeCun
2008	—	`—`	Learning Long-Range Vision for an Offroad Robot. Raia Hadsell
2008	A	`conf`	Mapping and planning under uncertainty in mobile robots with long-range perception. IROS Pierre Sermanet, Raia Hadsell, Marco Scoffier, Urs Muller, Yann LeCun
2007	A	`conf`	Adaptive long range vision in unstructured terrain. IROS Ayse Erkan, Raia Hadsell, Pierre Sermanet, Jan Ben, Urs Muller, Yann LeCun
2007	—	`conf`	Online Learning for Offroad Robots: Spatial Label Propagation to Learn Long-Range Traversability. Robotics: Science and Systems Raia Hadsell, Pierre Sermanet, Jan Ben, Ayse Erkan, Jeff Han, Urs Muller, Yann LeCun
2006	—	`conf`	Dimensionality Reduction by Learning an Invariant Mapping. CVPR (2) Raia Hadsell, Sumit Chopra, Yann LeCun
2005	—	`conf`	Learning a Similarity Metric Discriminatively, with Application to Face Verification. CVPR (1) Sumit Chopra, Raia Hadsell, Yann LeCun
2003	A*	`conf`	Improved global routing through congestion estimation. DAC Raia Hadsell, Patrick H. Madden