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2020 – today
- 2024
[j12]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:
Learning agile soccer skills for a bipedal robot with deep reinforcement learning. Sci. Robotics 9(89) (2024)- [j11]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:
RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation. Trans. Mach. Learn. Res. 2024 (2024) - [c48]Mel Vecerík, Carl Doersch, Yi Yang, Todor Davchev, Yusuf Aytar, Guangyao Zhou, Raia Hadsell, Lourdes Agapito, Jon Scholz:
RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation. ICRA 2024: 5397-5403 - [i47]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:
RecurrentGemma: Moving Past Transformers for Efficient Open Language Models. CoRR abs/2404.07839 (2024) - 2023
- [j10]Matthew Koichi Grimes, Joseph Modayil, Piotr W. Mirowski, Dushyant Rao, Raia Hadsell:
Learning to Look by Self-Prediction. Trans. Mach. Learn. Res. 2023 (2023) - [i46]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:
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning. CoRR abs/2304.13653 (2023) - [i45]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:
Barkour: Benchmarking Animal-level Agility with Quadruped Robots. CoRR abs/2305.14654 (2023) - [i44]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:
RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation. CoRR abs/2306.11706 (2023) - [i43]Mel Vecerík, Carl Doersch, Yi Yang, Todor Davchev, Yusuf Aytar, Guangyao Zhou, Raia Hadsell, Lourdes Agapito, Jon Scholz:
RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation. CoRR abs/2308.15975 (2023) - 2022
- [j9]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:
A Generalist Agent. Trans. Mach. Learn. Res. 2022 (2022) - [c47]Sasha Salter, Markus Wulfmeier, Dhruva Tirumala, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell, Dushyant Rao:
MO2: Model-Based Offline Options. CoLLAs 2022: 902-919 - [c46]Andrei Alex Rusu, Sebastian Flennerhag, Dushyant Rao, Razvan Pascanu, Raia Hadsell:
Probing Transfer in Deep Reinforcement Learning without Task Engineering. CoLLAs 2022: 1231-1254 - [c45]Dushyant Rao, Fereshteh Sadeghi, Leonard Hasenclever, Markus Wulfmeier, Martina Zambelli, Giulia Vezzani, Dhruva Tirumala, Yusuf Aytar, Josh Merel, Nicolas Heess, Raia Hadsell:
Learning transferable motor skills with hierarchical latent mixture policies. ICLR 2022 - [c44]Andrei A. Rusu, Dan Andrei Calian, Sven Gowal, Raia Hadsell:
Hindering Adversarial Attacks with Implicit Neural Representations. ICML 2022: 18910-18934 - [c43]Petar Velickovic, Adrià Puigdomènech Badia, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell:
The CLRS Algorithmic Reasoning Benchmark. ICML 2022: 22084-22102 - [c42]Mel Vecerík, Jackie Kay, Raia Hadsell, Lourdes Agapito, Jon Scholz:
Few-Shot Keypoint Detection as Task Adaptation via Latent Embeddings. ICRA 2022: 1251-1257 - [c41]Petar Velickovic, Matko Bosnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell:
Reasoning-Modulated Representations. LoG 2022: 50 - [i42]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:
Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors. CoRR abs/2203.17138 (2022) - [i41]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:
A Generalist Agent. CoRR abs/2205.06175 (2022) - [i40]Petar Velickovic, Adrià Puigdomènech Badia, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell:
The CLRS Algorithmic Reasoning Benchmark. CoRR abs/2205.15659 (2022) - [i39]Sasha Salter, Markus Wulfmeier, Dhruva Tirumala, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell, Dushyant Rao:
MO2: Model-Based Offline Options. CoRR abs/2209.01947 (2022) - [i38]Andrei A. Rusu, Sebastian Flennerhag, Dushyant Rao, Razvan Pascanu, Raia Hadsell:
Probing Transfer in Deep Reinforcement Learning without Task Engineering. CoRR abs/2210.12448 (2022) - [i37]Andrei A. Rusu, Dan A. Calian, Sven Gowal, Raia Hadsell:
Hindering Adversarial Attacks with Implicit Neural Representations. CoRR abs/2210.13982 (2022) - 2021
- [j8]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:
Skilful precipitation nowcasting using deep generative models of radar. Nat. 597(7878): 672-677 (2021) - [c40]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:
A Constrained Multi-Objective Reinforcement Learning Framework. CoRL 2021: 883-893 - [c39]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:
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes. CoRL 2021: 1089-1131 - [c38]Alex Church, John Lloyd, Raia Hadsell, Nathan F. Lepora:
Tactile Sim-to-Real Policy Transfer via Real-to-Sim Image Translation. CoRL 2021: 1645-1654 - [i36]Martina Zambelli, Yusuf Aytar, Francesco Visin, Yuxiang Zhou, Raia Hadsell:
Learning rich touch representations through cross-modal self-supervision. CoRR abs/2101.08616 (2021) - [i35]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:
Skillful Precipitation Nowcasting using Deep Generative Models of Radar. CoRR abs/2104.00954 (2021) - [i34]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:
On Multi-objective Policy Optimization as a Tool for Reinforcement Learning. CoRR abs/2106.08199 (2021) - [i33]Alex Church, John Lloyd, Raia Hadsell, Nathan F. Lepora:
Optical Tactile Sim-to-Real Policy Transfer via Real-to-Sim Tactile Image Translation. CoRR abs/2106.08796 (2021) - [i32]Petar Velickovic, Matko Bosnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell:
Reasoning-Modulated Representations. CoRR abs/2107.08881 (2021) - [i31]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:
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes. CoRR abs/2110.06192 (2021) - [i30]Mel Vecerík, Jackie Kay, Raia Hadsell, Lourdes Agapito, Jon Scholz:
Few-Shot Keypoint Detection as Task Adaptation via Latent Embeddings. CoRR abs/2112.04910 (2021) - [i29]Dushyant Rao, Fereshteh Sadeghi, Leonard Hasenclever, Markus Wulfmeier, Martina Zambelli, Giulia Vezzani, Dhruva Tirumala, Yusuf Aytar, Josh Merel, Nicolas Heess, Raia Hadsell:
Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies. CoRR abs/2112.05062 (2021) - 2020
- [j7]Alex Church, John Lloyd, Raia Hadsell, Nathan F. Lepora:
Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard. IEEE Robotics Autom. Lett. 5(4): 6145-6152 (2020) - [c37]Karl Moritz Hermann, Mateusz Malinowski, Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Raia Hadsell:
Learning to Follow Directions in Street View. AAAI 2020: 11773-11781 - [c36]Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner:
Attention-Privileged Reinforcement Learning. CoRL 2020: 394-408 - [c35]Mel Vecerík, Jean-Baptiste Regli, Oleg Sushkov, David Barker, Rugile Pevceviciute, Thomas Rothörl, Raia Hadsell, Lourdes Agapito, Jonathan Scholz:
S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency. CoRL 2020: 449-460 - [c34]Martina Zambelli, Yusuf Aytar, Francesco Visin, Yuxiang Zhou, Raia Hadsell:
Learning rich touch representations through cross-modal self-supervision. CoRL 2020: 1415-1425 - [c33]Sebastian Flennerhag, Andrei A. Rusu, Razvan Pascanu, Francesco Visin, Hujun Yin, Raia Hadsell:
Meta-Learning with Warped Gradient Descent. ICLR 2020 - [c32]Petar Velickovic, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell:
Neural Execution of Graph Algorithms. ICLR 2020 - [c31]Abbas Abdolmaleki, Sandy H. Huang, Leonard Hasenclever, Michael Neunert, H. Francis Song, Martina Zambelli, Murilo F. Martins, Nicolas Heess, Raia Hadsell, Martin A. Riedmiller:
A distributional view on multi-objective policy optimization. ICML 2020: 11-22 - [c30]Leonard Hasenclever, Fabio Pardo, Raia Hadsell, Nicolas Heess, Josh Merel:
CoMic: Complementary Task Learning & Mimicry for Reusable Skills. ICML 2020: 4105-4115 - [c29]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:
Stabilizing Transformers for Reinforcement Learning. ICML 2020: 7487-7498 - [e2]Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, Hsuan-Tien Lin:
Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. 2020 [contents] - [i28]Abbas Abdolmaleki, Sandy H. Huang, Leonard Hasenclever, Michael Neunert, H. Francis Song, Martina Zambelli, Murilo F. Martins, Nicolas Heess, Raia Hadsell, Martin A. Riedmiller:
A Distributional View on Multi-Objective Policy Optimization. CoRR abs/2005.07513 (2020) - [i27]Alex Church, John Lloyd, Raia Hadsell, Nathan F. Lepora:
Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard. CoRR abs/2008.02646 (2020) - [i26]Mel Vecerík, Jean-Baptiste Regli, Oleg Sushkov, David Barker, Rugile Pevceviciute, Thomas Rothörl, Christopher Schuster, Raia Hadsell, Lourdes Agapito, Jonathan Scholz:
S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency. CoRR abs/2009.14711 (2020)
2010 – 2019
- 2019
- [j6]Nathan F. Lepora, Alex Church, Conrad De Kerckhove, Raia Hadsell, John Lloyd:
From Pixels to Percepts: Highly Robust Edge Perception and Contour Following Using Deep Learning and an Optical Biomimetic Tactile Sensor. IEEE Robotics Autom. Lett. 4(2): 2101-2107 (2019) - [c28]Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, Dmitry Kalashnikov, Alex Irpan, Julian Ibarz, Sergey Levine, Raia Hadsell, Konstantinos Bousmalis:
Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks. CVPR 2019: 12627-12637 - [c27]Raia Hadsell:
Challenges for learning in complex environments. GECCO 2019: 3 - [c26]Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, Raia Hadsell:
Meta-Learning with Latent Embedding Optimization. ICLR (Poster) 2019 - [c25]Hugo Jair Escalante, Raia Hadsell:
NeurIPS 2019 Competition and Demonstration Track Revised selected papers. NeurIPS (Competition and Demos) 2019: 1-12 - [c24]Dushyant Rao, Francesco Visin, Andrei A. Rusu, Razvan Pascanu, Yee Whye Teh, Raia Hadsell:
Continual Unsupervised Representation Learning. NeurIPS 2019: 7645-7655 - [e1]Hugo Jair Escalante, Raia Hadsell:
NeurIPS 2019 Competition and Demonstration Track, 8-14 December 2019, Vancouver, Canada. Revised selected papers. Proceedings of Machine Learning Research 123, PMLR 2019 [contents] - [i25]Steven Bohez, Abbas Abdolmaleki, Michael Neunert, Jonas Buchli, Nicolas Heess, Raia Hadsell:
Value constrained model-free continuous control. CoRR abs/1902.04623 (2019) - [i24]Karl Moritz Hermann, Mateusz Malinowski, Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Raia Hadsell:
Learning To Follow Directions in Street View. CoRR abs/1903.00401 (2019) - [i23]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:
The StreetLearn Environment and Dataset. CoRR abs/1903.01292 (2019) - [i22]Sandy H. Huang, Martina Zambelli, Jackie Kay, Murilo F. Martins, Yuval Tassa, Patrick M. Pilarski, Raia Hadsell:
Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning. CoRR abs/1903.08542 (2019) - [i21]Sebastian Flennerhag, Andrei A. Rusu, Razvan Pascanu, Hujun Yin, Raia Hadsell:
Meta-Learning with Warped Gradient Descent. CoRR abs/1909.00025 (2019) - [i20]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:
Stabilizing Transformers for Reinforcement Learning. CoRR abs/1910.06764 (2019) - [i19]Petar Velickovic, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell:
Neural Execution of Graph Algorithms. CoRR abs/1910.10593 (2019) - [i18]Dushyant Rao, Francesco Visin, Andrei A. Rusu, Yee Whye Teh, Razvan Pascanu, Raia Hadsell:
Continual Unsupervised Representation Learning. CoRR abs/1910.14481 (2019) - [i17]Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner:
Attention Privileged Reinforcement Learning For Domain Transfer. CoRR abs/1911.08363 (2019) - [i16]Christopher Grimm, Irina Higgins, André Barreto, Denis Teplyashin, Markus Wulfmeier, Tim Hertweck, Raia Hadsell, Satinder Singh:
Disentangled Cumulants Help Successor Representations Transfer to New Tasks. CoRR abs/1911.10866 (2019) - 2018
- [j5]Niko Sünderhauf, Oliver Brock, Walter J. Scheirer, Raia Hadsell, Dieter Fox, Jürgen Leitner, Ben Upcroft, Pieter Abbeel, Wolfram Burgard, Michael Milford, Peter Corke:
The limits and potentials of deep learning for robotics. Int. J. Robotics Res. 37(4-5): 405-420 (2018) - [j4]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:
Vector-based navigation using grid-like representations in artificial agents. Nat. 557(7705): 429-433 (2018) - [c23]Jake Bruce, Niko Sünderhauf, Piotr Mirowski, Raia Hadsell, Michael Milford:
Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal. CoRL 2018: 346-361 - [c22]Alvaro Sanchez-Gonzalez, Nicolas Heess, Jost Tobias Springenberg, Josh Merel, Martin A. Riedmiller, Raia Hadsell, Peter W. Battaglia:
Graph Networks as Learnable Physics Engines for Inference and Control. ICML 2018: 4467-4476 - [c21]Jonathan Schwarz, Wojciech Czarnecki, Jelena Luketina, Agnieszka Grabska-Barwinska, Yee Whye Teh, Razvan Pascanu, Raia Hadsell:
Progress & Compress: A scalable framework for continual learning. ICML 2018: 4535-4544 - [c20]Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell:
Learning to Navigate in Cities Without a Map. NeurIPS 2018: 2424-2435 - [c19]Yuke Zhu, Ziyu Wang, Josh Merel, Andrei A. Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool, János Kramár, Raia Hadsell, Nando de Freitas, Nicolas Heess:
Reinforcement and Imitation Learning for Diverse Visuomotor Skills. Robotics: Science and Systems 2018 - [i15]Yuke Zhu, Ziyu Wang, Josh Merel, Andrei A. Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool, János Kramár, Raia Hadsell, Nando de Freitas, Nicolas Heess:
Reinforcement and Imitation Learning for Diverse Visuomotor Skills. CoRR abs/1802.09564 (2018) - [i14]Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell:
Learning to Navigate in Cities Without a Map. CoRR abs/1804.00168 (2018) - [i13]Niko Sünderhauf, Oliver Brock, Walter J. Scheirer, Raia Hadsell, Dieter Fox, Jürgen Leitner, Ben Upcroft, Pieter Abbeel, Wolfram Burgard, Michael Milford, Peter Corke:
The Limits and Potentials of Deep Learning for Robotics. CoRR abs/1804.06557 (2018) - [i12]Jonathan Schwarz, Jelena Luketina, Wojciech M. Czarnecki, Agnieszka Grabska-Barwinska, Yee Whye Teh, Razvan Pascanu, Raia Hadsell:
Progress & Compress: A scalable framework for continual learning. CoRR abs/1805.06370 (2018) - [i11]Alvaro Sanchez-Gonzalez, Nicolas Heess, Jost Tobias Springenberg, Josh Merel, Martin A. Riedmiller, Raia Hadsell, Peter W. Battaglia:
Graph networks as learnable physics engines for inference and control. CoRR abs/1806.01242 (2018) - [i10]Jake Bruce, Niko Sünderhauf, Piotr Mirowski, Raia Hadsell, Michael Milford:
Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal. CoRR abs/1807.05211 (2018) - [i9]Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, Raia Hadsell:
Meta-Learning with Latent Embedding Optimization. CoRR abs/1807.05960 (2018) - [i8]Nathan F. Lepora, Alex Church, Conrad De Kerckhove, Raia Hadsell, John Lloyd:
From pixels to percepts: Highly robust edge perception and contour following using deep learning and an optical biomimetic tactile sensor. CoRR abs/1812.02941 (2018) - [i7]Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, Dmitry Kalashnikov, Alex Irpan, Julian Ibarz, Sergey Levine, Raia Hadsell, Konstantinos Bousmalis:
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks. CoRR abs/1812.07252 (2018) - 2017
- [c18]Andrei A. Rusu, Matej Vecerík, Thomas Rothörl, Nicolas Heess, Razvan Pascanu, Raia Hadsell:
Sim-to-Real Robot Learning from Pixels with Progressive Nets. CoRL 2017: 262-270 - [c17]Piotr Mirowski, Razvan Pascanu, Fabio Viola, Hubert Soyer, Andy Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, Dharshan Kumaran, Raia Hadsell:
Learning to Navigate in Complex Environments. ICLR (Poster) 2017 - [c16]Yee Whye Teh, Victor Bapst, Wojciech M. Czarnecki, John Quan, James Kirkpatrick, Raia Hadsell, Nicolas Heess, Razvan Pascanu:
Distral: Robust multitask reinforcement learning. NIPS 2017: 4496-4506 - [i6]Yee Whye Teh, Victor Bapst, Wojciech Marian Czarnecki, John Quan, James Kirkpatrick, Raia Hadsell, Nicolas Heess, Razvan Pascanu:
Distral: Robust Multitask Reinforcement Learning. CoRR abs/1707.04175 (2017) - [i5]Jake Bruce, Niko Sünderhauf, Piotr Mirowski, Raia Hadsell, Michael Milford:
One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay. CoRR abs/1711.10137 (2017) - 2016
- [c15]Andrei A. Rusu, Sergio Gomez Colmenarejo, Çaglar Gülçehre, Guillaume Desjardins, James Kirkpatrick, Razvan Pascanu, Volodymyr Mnih, Koray Kavukcuoglu, Raia Hadsell:
Policy Distillation. ICLR (Poster) 2016 - [i4]Andrei A. Rusu, Neil C. Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, Raia Hadsell:
Progressive Neural Networks. CoRR abs/1606.04671 (2016) - [i3]Andrei A. Rusu, Matej Vecerík, Thomas Rothörl, Nicolas Heess, Razvan Pascanu, Raia Hadsell:
Sim-to-Real Robot Learning from Pixels with Progressive Nets. CoRR abs/1610.04286 (2016) - [i2]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:
Learning to Navigate in Complex Environments. CoRR abs/1611.03673 (2016) - [i1]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:
Overcoming catastrophic forgetting in neural networks. CoRR abs/1612.00796 (2016) - 2012
- [c14]Raia Hadsell, Bogdan Matei, Garbis Salgian, Aveek Das, Taragay Oskiper, Supun Samarasekera:
Complex Terrain Mapping with Multi-camera Visual Odometry and Realtime Drift Correction. 3DIMPVT 2012: 493-500 - [c13]Wen Wang, Kristin Precoda, Raia Hadsell, Zsolt Kira, Colleen Richey, Gabriel Jiva:
Detecting leadership and cohesion in spoken interactions. ICASSP 2012: 5105-5108 - [c12]Raia Hadsell, Zsolt Kira, Wen Wang, Kristin Precoda:
Unsupervised topic modeling for leader detection in spoken discourse. ICASSP 2012: 5113-5116 - [c11]Zsolt Kira, Raia Hadsell, Garbis Salgian, Supun Samarasekera:
Long-Range Pedestrian Detection using stereo and a cascade of convolutional network classifiers. IROS 2012: 2396-2403 - [c10]Zsolt Kira, Ben Southall, Sujit Kuthirummal, Bogdan Matei, Raia Hadsell, Jayan Eledath:
Multi-modal pedestrian detection on the move. TePRA 2012: 157-162 - 2011
- [c9]Zhiwei Zhu, Han-Pang Chiu, Taragay Oskiper, Saad Ali, Raia Hadsell, Supun Samarasekera, Rakesh Kumar:
High-precision localization using visual landmarks fused with range data. CVPR 2011: 81-88 - 2010
- [j3]Raia Hadsell, J. Andrew Bagnell, Daniel F. Huber, Martial Hebert:
Space-carving Kernels for Accurate Rough Terrain Estimation. Int. J. Robotics Res. 29(8): 981-996 (2010)
2000 – 2009
- 2009
- [j2]Pierre Sermanet, Raia Hadsell, Marco Scoffier, Matthew Grimes, Jan Ben, Ayse Erkan, Chris Crudele, Urs Miller, Yann LeCun:
A multirange architecture for collision-free off-road robot navigation. J. Field Robotics 26(1): 52-87 (2009) - [j1]Raia Hadsell, Pierre Sermanet, Jan Ben, Ayse Erkan, Marco Scoffier, Koray Kavukcuoglu, Urs Muller, Yann LeCun:
Learning long-range vision for autonomous off-road driving. J. Field Robotics 26(2): 120-144 (2009) - [c8]Raia Hadsell, J. Andrew Bagnell, Daniel F. Huber, Martial Hebert:
Accurate rough terrain estimation with space-carving kernels. Robotics: Science and Systems 2009 - 2008
- [b1]Raia Hadsell:
Learning Long-Range Vision for an Offroad Robot. New York University, USA, 2008 - [c7]Raia Hadsell, Ayse Erkan, Pierre Sermanet, Marco Scoffier, Urs Muller, Yann LeCun:
Deep belief net learning in a long-range vision system for autonomous off-road driving. IROS 2008: 628-633 - [c6]Pierre Sermanet, Raia Hadsell, Marco Scoffier, Urs Muller, Yann LeCun:
Mapping and planning under uncertainty in mobile robots with long-range perception. IROS 2008: 2525-2530 - 2007
- [c5]Ayse Erkan, Raia Hadsell, Pierre Sermanet, Jan Ben, Urs Muller, Yann LeCun:
Adaptive long range vision in unstructured terrain. IROS 2007: 2421-2426 - [c4]Raia Hadsell, Pierre Sermanet, Jan Ben, Ayse Erkan, Jeff Han, Urs Muller, Yann LeCun:
Online Learning for Offroad Robots: Spatial Label Propagation to Learn Long-Range Traversability. Robotics: Science and Systems 2007 - 2006
- [c3]Raia Hadsell, Sumit Chopra, Yann LeCun:
Dimensionality Reduction by Learning an Invariant Mapping. CVPR (2) 2006: 1735-1742 - 2005
- [c2]Sumit Chopra, Raia Hadsell, Yann LeCun:
Learning a Similarity Metric Discriminatively, with Application to Face Verification. CVPR (1) 2005: 539-546 - 2003
- [c1]Raia Hadsell, Patrick H. Madden:
Improved global routing through congestion estimation. DAC 2003: 28-31
Coauthor Index
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