Dushyant Rao

According to our database, Dushyant Rao authored at least 33 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation.

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

Trans. Mach. Learn. Res., 2024

DemoStart: Demonstration-led auto-curriculum applied to sim-to-real with multi-fingered robots.

Maria Bauzá, José Enrique Chen, Valentin Dalibard, Nimrod Gileadi, Roland Hafner, Murilo F. Martins, Joss Moore, Rugile Pevceviciute, Antoine Laurens, Dushyant Rao, Martina Zambelli, Martin A. Riedmiller, Jon Scholz, Konstantinos Bousmalis, Francesco Nori, Nicolas Heess

CoRR, 2024

Learning to Learn Faster from Human Feedback with Language Model Predictive Control.

Jacky Liang, Fei Xia, Wenhao Yu, Andy Zeng, Montserrat Gonzalez Arenas, Maria Attarian, Maria Bauzá, Matthew Bennice, Alex Bewley, Adil Dostmohamed, Chuyuan Kelly Fu, Nimrod Gileadi, Marissa Giustina, Keerthana Gopalakrishnan, Leonard Hasenclever, Jan Humplik, Jasmine Hsu, Nikhil J. Joshi, Ben Jyenis, J. Chase Kew, Sean Kirmani, Tsang-Wei Edward Lee, Kuang-Huei Lee, Assaf Hurwitz Michaely, Joss Moore, Ken Oslund, Dushyant Rao, Allen Z. Ren, Baruch Tabanpour, Quan Vuong, Ayzaan Wahid, Ted Xiao, Ying Xu, Vincent Zhuang, Peng Xu, Erik Frey, Ken Caluwaerts, Tingnan Zhang, Brian Ichter, Jonathan Tompson, Leila Takayama, Vincent Vanhoucke, Izhak Shafran, Maja J. Mataric, Dorsa Sadigh, Nicolas Heess, Kanishka Rao, Nik Stewart, Jie Tan, Carolina Parada

CoRR, 2024

2023

SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration.

Giulia Vezzani, Dhruva Tirumala, Markus Wulfmeier, Dushyant Rao, Abbas Abdolmaleki, Ben Moran, Tuomas Haarnoja, Jan Humplik, Roland Hafner, Michael Neunert, Claudio Fantacci, Tim Hertweck, Thomas Lampe, Fereshteh Sadeghi, Nicolas Heess, Martin A. Riedmiller

Trans. Mach. Learn. Res., 2023

Learning to Look by Self-Prediction.

Matthew Koichi Grimes, Joseph Modayil, Piotr W. Mirowski, Dushyant Rao, Raia Hadsell

Trans. Mach. Learn. Res., 2023

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation.

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

CoRR, 2023

Towards Compute-Optimal Transfer Learning.

Massimo Caccia, Alexandre Galashov, Arthur Douillard, Amal Rannen-Triki, Dushyant Rao, Michela Paganini, Laurent Charlin, Marc'Aurelio Ranzato, Razvan Pascanu

CoRR, 2023

Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains.

Jingwei Zhang, Jost Tobias Springenberg, Arunkumar Byravan, Leonard Hasenclever, Abbas Abdolmaleki, Dushyant Rao, Nicolas Heess, Martin A. Riedmiller

CoRR, 2023

2022

Offline Distillation for Robot Lifelong Learning with Imbalanced Experience.

Wenxuan Zhou, Steven Bohez, Jan Humplik, Abbas Abdolmaleki, Dushyant Rao, Markus Wulfmeier, Tuomas Haarnoja, Nicolas Heess

CoRR, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022

Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data.

Wenxuan Zhou, Steven Bohez, Jan Humplik, Nicolas Heess, Abbas Abdolmaleki, Dushyant Rao, Markus Wulfmeier, Tuomas Haarnoja

Proceedings of the Conference on Lifelong Learning Agents, 2022

MO2: Model-Based Offline Options.

Sasha Salter, Markus Wulfmeier, Dhruva Tirumala, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell, Dushyant Rao

Proceedings of the Conference on Lifelong Learning Agents, 2022

Probing Transfer in Deep Reinforcement Learning without Task Engineering.

Andrei Alex Rusu, Sebastian Flennerhag, Dushyant Rao, Razvan Pascanu, Raia Hadsell

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Task-agnostic Continual Learning with Hybrid Probabilistic Models.

Polina Kirichenko, Mehrdad Farajtabar, Dushyant Rao, Balaji Lakshminarayanan, Nir Levine, Ang Li, Huiyi Hu, Andrew Gordon Wilson, Razvan Pascanu

CoRR, 2021

Data-efficient Hindsight Off-policy Option Learning.

Markus Wulfmeier, Dushyant Rao, Roland Hafner, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Michael Neunert, Dhruva Tirumala, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Attention-Privileged Reinforcement Learning.

Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Attention Privileged Reinforcement Learning For Domain Transfer.

Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner

CoRR, 2019

Continual Unsupervised Representation Learning.

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Meta-Learning with Latent Embedding Optimization.

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

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Resource-Performance Tradeoff Analysis for Mobile Robots.

Morteza Lahijanian, María Svorenová, Akshay A. Morye, Brian Yeomans, Dushyant Rao, Ingmar Posner, Paul Newman, Hadas Kress-Gazit, Marta Kwiatkowska

IEEE Robotics Autom. Lett., 2018

Learn from experience: Probabilistic prediction of perception performance to avoid failure.

Corina Gurau, Dushyant Rao, Chi Hay Tong, Ingmar Posner

Int. J. Robotics Res., 2018

Deep tracking in the wild: End-to-end tracking using recurrent neural networks.

Julie Dequaire, Peter Ondruska, Dushyant Rao, Dominic Zeng Wang, Ingmar Posner

Int. J. Robotics Res., 2018

2017

Large-scale cost function learning for path planning using deep inverse reinforcement learning.

Markus Wulfmeier, Dushyant Rao, Dominic Zeng Wang, Peter Ondruska, Ingmar Posner

Int. J. Robotics Res., 2017

Multimodal learning and inference from visual and remotely sensed data.

Dushyant Rao, Mark De Deuge, Navid Nourani-Vatani, Stefan B. Williams, Oscar Pizarro

Int. J. Robotics Res., 2017

Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks.

Martin Engelcke, Dushyant Rao, Dominic Zeng Wang, Chi Hay Tong, Ingmar Posner

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Multimodal learning from visual and remotely sensed data.

Dushyant Rao

PhD thesis, 2016

Incorporating Human Domain Knowledge into Large Scale Cost Function Learning.

Markus Wulfmeier, Dushyant Rao, Ingmar Posner

CoRR, 2016

Resource-Performance Trade-off Analysis for Mobile Robots.

María Svorenová, Morteza Lahijanian, Akshay A. Morye, Dushyant Rao, Ingmar Posner, Paul Newman, Hadas Kress-Gazit, Marta Kwiatkowska

CoRR, 2016

Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks.

Julie Dequaire, Dushyant Rao, Peter Ondruska, Dominic Zeng Wang, Ingmar Posner

CoRR, 2016

Multimodal information-theoretic measures for autonomous exploration.

Dushyant Rao, Asher Bender, Stefan B. Williams, Oscar Pizarro

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2014

Multimodal learning for autonomous underwater vehicles from visual and bathymetric data.

Dushyant Rao, Mark De Deuge, Navid Nourani-Vatani, Bertrand Douillard, Stefan B. Williams, Oscar Pizarro

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013

Hierarchical Classification in AUV Imagery.

M. S. Bewley, Navid Nourani-Vatani, Dushyant Rao, Bertrand Douillard, Oscar Pizarro, Stefan B. Williams

Proceedings of the Field and Service Robotics, 2013

2012

CurveSLAM: An approach for vision-based navigation without point features.

Dushyant Rao, Soon-Jo Chung, Seth Hutchinson

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012