Dushyant Rao

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 36

Top Venues

CoRR

Int. J. Robotics Res.

ICRA

CoLLAs

University of Sydney, Australia (PHD)

Education History

University of Sydney, Australia

PHD

Publications

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)
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
Learning to Learn Faster from Human Feedback with Language Model Predictive Control. CoRR (2024)
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, Jose 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 (2023)
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
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration. Trans. Mach. Learn. Res. 2023 (2023)
Massimo Caccia, Alexandre Galashov, Arthur Douillard, Amal Rannen-Triki, Dushyant Rao, Michela Paganini, Laurent Charlin, Marc'Aurelio Ranzato, Razvan Pascanu
Towards Compute-Optimal Transfer Learning. CoRR (2023)
Matthew Koichi Grimes, Joseph Modayil, Piotr W. Mirowski, Dushyant Rao, Raia Hadsell
Learning to Look by Self-Prediction. Trans. Mach. Learn. Res. 2023 (2023)
Jingwei Zhang, Jost Tobias Springenberg, Arunkumar Byravan, Leonard Hasenclever, Abbas Abdolmaleki, Dushyant Rao, Nicolas Heess, Martin A. Riedmiller
Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains. CoRR (2023)
Andrei Alex Rusu, Sebastian Flennerhag, Dushyant Rao, Razvan Pascanu, Raia Hadsell
Probing Transfer in Deep Reinforcement Learning without Task Engineering. CoLLAs (2022)
Wenxuan Zhou, Steven Bohez, Jan Humplik, Abbas Abdolmaleki, Dushyant Rao, Markus Wulfmeier, Tuomas Haarnoja, Nicolas Heess
Offline Distillation for Robot Lifelong Learning with Imbalanced Experience. CoRR (2022)
Andrei A. Rusu, Sebastian Flennerhag, Dushyant Rao, Razvan Pascanu, Raia Hadsell
Probing Transfer in Deep Reinforcement Learning without Task Engineering. CoRR (2022)
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)
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
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration. CoRR (2022)
Sasha Salter, Markus Wulfmeier, Dhruva Tirumala, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell, Dushyant Rao
MO2: Model-Based Offline Options. CoLLAs (2022)
Wenxuan Zhou, Steven Bohez, Jan Humplik, Nicolas Heess, Abbas Abdolmaleki, Dushyant Rao, Markus Wulfmeier, Tuomas Haarnoja
Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data. CoLLAs (2022)
Sasha Salter, Markus Wulfmeier, Dhruva Tirumala, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell, Dushyant Rao
MO2: Model-Based Offline Options. CoRR (2022)
Markus Wulfmeier, Dushyant Rao, Roland Hafner, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Michael Neunert, Dhruva Tirumala, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller
Data-efficient Hindsight Off-policy Option Learning. ICML (2021)
Polina Kirichenko, Mehrdad Farajtabar, Dushyant Rao, Balaji Lakshminarayanan, Nir Levine, Ang Li, Huiyi Hu, Andrew Gordon Wilson, Razvan Pascanu
Task-agnostic Continual Learning with Hybrid Probabilistic Models. CoRR (2021)
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 (2021)
Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner
Attention-Privileged Reinforcement Learning. CoRL (2020)
Markus Wulfmeier, Dushyant Rao, Roland Hafner, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Michael Neunert, Dhruva Tirumala, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller
Data-efficient Hindsight Off-policy Option Learning. CoRR (2020)
Dushyant Rao, Francesco Visin, Andrei A. Rusu, Razvan Pascanu, Yee Whye Teh, Raia Hadsell
Continual Unsupervised Representation Learning. NeurIPS (2019)
Dushyant Rao, Francesco Visin, Andrei A. Rusu, Yee Whye Teh, Razvan Pascanu, Raia Hadsell
Continual Unsupervised Representation Learning. CoRR (2019)
Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner
Attention Privileged Reinforcement Learning For Domain Transfer. CoRR (2019)
Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, Raia Hadsell
Meta-Learning with Latent Embedding Optimization. ICLR (Poster) (2019)
Morteza Lahijanian, María Svorenová, Akshay A. Morye, Brian Yeomans, Dushyant Rao, Ingmar Posner, Paul Newman, Hadas Kress-Gazit, Marta Kwiatkowska
Resource-Performance Tradeoff Analysis for Mobile Robots. IEEE Robotics Autom. Lett. 3 (3) (2018)
Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, Raia Hadsell
Meta-Learning with Latent Embedding Optimization. CoRR (2018)
Julie Dequaire, Peter Ondruska, Dushyant Rao, Dominic Zeng Wang, Ingmar Posner
Deep tracking in the wild: End-to-end tracking using recurrent neural networks. Int. J. Robotics Res. 37 (4-5) (2018)
Corina Gurau, Dushyant Rao, Chi Hay Tong, Ingmar Posner
Learn from experience: Probabilistic prediction of perception performance to avoid failure. Int. J. Robotics Res. 37 (9) (2018)
Martin Engelcke, Dushyant Rao, Dominic Zeng Wang, Chi Hay Tong, Ingmar Posner
Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks. ICRA (2017)
Dushyant Rao, Mark De Deuge, Navid Nourani-Vatani, Stefan B. Williams, Oscar Pizarro
Multimodal learning and inference from visual and remotely sensed data. Int. J. Robotics Res. 36 (1) (2017)
Markus Wulfmeier, Dushyant Rao, Dominic Zeng Wang, Peter Ondruska, Ingmar Posner
Large-scale cost function learning for path planning using deep inverse reinforcement learning. Int. J. Robotics Res. 36 (10) (2017)
Julie Dequaire, Dushyant Rao, Peter Ondruska, Dominic Zeng Wang, Ingmar Posner
Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks. CoRR (2016)
Martin Engelcke, Dushyant Rao, Dominic Zeng Wang, Chi Hay Tong, Ingmar Posner
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks. CoRR (2016)
Markus Wulfmeier, Dushyant Rao, Ingmar Posner
Incorporating Human Domain Knowledge into Large Scale Cost Function Learning. CoRR (2016)
María Svorenová, Morteza Lahijanian, Akshay A. Morye, Dushyant Rao, Ingmar Posner, Paul Newman, Hadas Kress-Gazit, Marta Kwiatkowska
Resource-Performance Trade-off Analysis for Mobile Robots. CoRR (2016)
Dushyant Rao, Asher Bender, Stefan B. Williams, Oscar Pizarro
Multimodal information-theoretic measures for autonomous exploration. ICRA (2016)
Dushyant Rao, Mark De Deuge, Navid Nourani-Vatani, Bertrand Douillard, Stefan B. Williams, Oscar Pizarro
Multimodal learning for autonomous underwater vehicles from visual and bathymetric data. ICRA (2014)
M. S. Bewley, Navid Nourani-Vatani, Dushyant Rao, Bertrand Douillard, Oscar Pizarro, Stefan B. Williams
Hierarchical Classification in AUV Imagery. FSR (2013)
Dushyant Rao, Soon-Jo Chung, Seth Hutchinson
CurveSLAM: An approach for vision-based navigation without point features. IROS (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dushyant Rao