Dushyant Rao

45 papers A* 7A 2Misc 1Journal 28Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
DemoStart: Demonstration-Led Auto-Curriculum Applied to Sim-to-Real with Multi-Fingered Robots.
ICRA
Maria Bauzá, Jose Enriaue 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
2025 A conf
Exploiting Policy Idling for Dexterous Manipulation.
IROS
Annie S. Chen, Philemon Brakel, Antonia Bronars, Annie Xie, Sandy Han Huang, Oliver Groth, Maria Bauzá, Markus Wulfmeier, Nicolas Heess, Dushyant Rao
2025 J jnl
Exploiting Policy Idling for Dexterous Manipulation.
CoRR
Annie S. Chen, Philemon Brakel, Antonia Bronars, Annie Xie, Sandy H. Huang, Oliver Groth, Maria Bauzá, Markus Wulfmeier, Nicolas Heess, Dushyant Rao
2024 J jnl
DemoStart: Demonstration-led auto-curriculum applied to sim-to-real with multi-fingered robots.
CoRR
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
2024 — conf
Learning to Learn Faster from Human Feedback with Language Model Predictive Control.
Robotics: Science and Systems
Jacky Liang, Fei Xia, Wenhao Yu, Andy Zeng, Maria Attarian, Maria Bauzá Villalonga, Matthew Bennice, Alex Bewley, Adil Dostmohamed, Chuyuan 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, Kenneth 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
2024 J jnl
Learning to Learn Faster from Human Feedback with Language Model Predictive Control.
CoRR
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
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
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
Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains.
CoRR
Jingwei Zhang, Jost Tobias Springenberg, Arunkumar Byravan, Leonard Hasenclever, Abbas Abdolmaleki, Dushyant Rao, Nicolas Heess, Martin A. Riedmiller
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
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration.
Trans. Mach. Learn. Res.
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
2023 J jnl
Towards Compute-Optimal Transfer Learning.
CoRR
Massimo Caccia, Alexandre Galashov, Arthur Douillard, Amal Rannen-Triki, Dushyant Rao, Michela Paganini, Laurent Charlin, Marc'Aurelio Ranzato, Razvan Pascanu
2022 — conf
Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data.
CoLLAs
Wenxuan Zhou, Steven Bohez, Jan Humplik, Nicolas Heess, Abbas Abdolmaleki, Dushyant Rao, Markus Wulfmeier, Tuomas Haarnoja
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 J jnl
Offline Distillation for Robot Lifelong Learning with Imbalanced Experience.
CoRR
Wenxuan Zhou, Steven Bohez, Jan Humplik, Abbas Abdolmaleki, Dushyant Rao, Markus Wulfmeier, Tuomas Haarnoja, Nicolas Heess
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 J jnl
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration.
CoRR
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
2021 A* conf
Data-efficient Hindsight Off-policy Option Learning.
ICML
Markus Wulfmeier, Dushyant Rao, Roland Hafner, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Michael Neunert, Dhruva Tirumala, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller
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
Task-agnostic Continual Learning with Hybrid Probabilistic Models.
CoRR
Polina Kirichenko, Mehrdad Farajtabar, Dushyant Rao, Balaji Lakshminarayanan, Nir Levine, Ang Li, Huiyi Hu, Andrew Gordon Wilson, Razvan Pascanu
2020 Misc conf
Attention-Privileged Reinforcement Learning.
CoRL
Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner
2020 J jnl
Data-efficient Hindsight Off-policy Option Learning.
CoRR
Markus Wulfmeier, Dushyant Rao, Roland Hafner, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Michael Neunert, Dhruva Tirumala, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller
2019 J jnl
Attention Privileged Reinforcement Learning For Domain Transfer.
CoRR
Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner
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 — conf
Meta-Learning with Latent Embedding Optimization.
ICLR (Poster)
Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, Raia Hadsell
2018 J jnl
Deep tracking in the wild: End-to-end tracking using recurrent neural networks.
Int. J. Robotics Res.
Julie Dequaire, Peter Ondruska, Dushyant Rao, Dominic Zeng Wang, Ingmar Posner
2018 J jnl
Learn from experience: Probabilistic prediction of perception performance to avoid failure.
Int. J. Robotics Res.
Corina Gurau, Dushyant Rao, Chi Hay Tong, Ingmar Posner
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 J jnl
Resource-Performance Tradeoff Analysis for Mobile Robots.
IEEE Robotics Autom. Lett.
Morteza Lahijanian, María Svorenová, Akshay A. Morye, Brian Yeomans, Dushyant Rao, Ingmar Posner, Paul Newman, Hadas Kress-Gazit, Marta Kwiatkowska
2017 J jnl
Large-scale cost function learning for path planning using deep inverse reinforcement learning.
Int. J. Robotics Res.
Markus Wulfmeier, Dushyant Rao, Dominic Zeng Wang, Peter Ondruska, Ingmar Posner
2017 J jnl
Multimodal learning and inference from visual and remotely sensed data.
Int. J. Robotics Res.
Dushyant Rao, Mark De Deuge, Navid Nourani-Vatani, Stefan B. Williams, Oscar Pizarro
2017 A* conf
Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks.
ICRA
Martin Engelcke, Dushyant Rao, Dominic Zeng Wang, Chi Hay Tong, Ingmar Posner
2016 J jnl
Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks.
CoRR
Julie Dequaire, Dushyant Rao, Peter Ondruska, Dominic Zeng Wang, Ingmar Posner
2016 J jnl
Incorporating Human Domain Knowledge into Large Scale Cost Function Learning.
CoRR
Markus Wulfmeier, Dushyant Rao, Ingmar Posner
2016 A* conf
Multimodal information-theoretic measures for autonomous exploration.
ICRA
Dushyant Rao, Asher Bender, Stefan B. Williams, Oscar Pizarro
2016 — —
Multimodal learning from visual and remotely sensed data.
Dushyant Rao
2016 J jnl
Resource-Performance Trade-off Analysis for Mobile Robots.
CoRR
María Svorenová, Morteza Lahijanian, Akshay A. Morye, Dushyant Rao, Ingmar Posner, Paul Newman, Hadas Kress-Gazit, Marta Kwiatkowska
2016 J jnl
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks.
CoRR
Martin Engelcke, Dushyant Rao, Dominic Zeng Wang, Chi Hay Tong, Ingmar Posner
2014 A* conf
Multimodal learning for autonomous underwater vehicles from visual and bathymetric data.
ICRA
Dushyant Rao, Mark De Deuge, Navid Nourani-Vatani, Bertrand Douillard, Stefan B. Williams, Oscar Pizarro
2013 — conf
Hierarchical Classification in AUV Imagery.
FSR
M. S. Bewley, Navid Nourani-Vatani, Dushyant Rao, Bertrand Douillard, Oscar Pizarro, Stefan B. Williams
2012 A conf
CurveSLAM: An approach for vision-based navigation without point features.
IROS
Dushyant Rao, Soon-Jo Chung, Seth Hutchinson