CurveSLAM: An approach for vision-based navigation without point features. - Dushyant Rao; Soon-Jo Chung; Seth Hutchinson 001 (IROS, 2012)

Hierarchical Classification in AUV Imagery. - M. S. Bewley; Navid Nourani-Vatani; Dushyant Rao; Bertrand Douillard; Oscar Pizarro; Stefan B. Williams (FSR, 2013)

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 (ICRA, 2014)

Multimodal information-theoretic measures for autonomous exploration. - Dushyant Rao; Asher Bender; Stefan B. Williams; Oscar Pizarro (ICRA, 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)

Resource-Performance Trade-off Analysis for Mobile Robots. - María Svorenová; Morteza Lahijanian; Akshay A. Morye; Dushyant Rao; Ingmar Posner; Paul Newman 001; Hadas Kress-Gazit; Marta Kwiatkowska (CoRR, 2016)

Incorporating Human Domain Knowledge into Large Scale Cost Function Learning. - Markus Wulfmeier; Dushyant Rao; Ingmar Posner (CoRR, 2016)

Multimodal learning from visual and remotely sensed data. - Dushyant Rao (2016)

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 (ICRA, 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)

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)

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)

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)

Resource-Performance Tradeoff Analysis for Mobile Robots. - Morteza Lahijanian; María Svorenová; Akshay A. Morye; Brian Yeomans; Dushyant Rao; Ingmar Posner; Paul Newman 001; Hadas Kress-Gazit; Marta Kwiatkowska (IEEE Robotics Autom. Lett., 2018)

Meta-Learning with Latent Embedding Optimization. - Andrei A. Rusu; Dushyant Rao; Jakub Sygnowski; Oriol Vinyals; Razvan Pascanu; Simon Osindero; Raia Hadsell (ICLR (Poster), 2019)

Continual Unsupervised Representation Learning. - Dushyant Rao; Francesco Visin; Andrei A. Rusu; Razvan Pascanu; Yee Whye Teh; Raia Hadsell (NeurIPS, 2019)

Attention Privileged Reinforcement Learning For Domain Transfer. - Sasha Salter; Dushyant Rao; Markus Wulfmeier; Raia Hadsell; Ingmar Posner (CoRR, 2019)

Attention-Privileged Reinforcement Learning. - Sasha Salter; Dushyant Rao; Markus Wulfmeier; Raia Hadsell; Ingmar Posner (CoRL, 2020)

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 (ICML, 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)

Probing Transfer in Deep Reinforcement Learning without Task Engineering. - Andrei Alex Rusu; Sebastian Flennerhag; Dushyant Rao; Razvan Pascanu; Raia Hadsell (CoLLAs, 2022)

MO2: Model-Based Offline Options. - Sasha Salter; Markus Wulfmeier; Dhruva Tirumala; Nicolas Heess; Martin A. Riedmiller; Raia Hadsell; Dushyant Rao (CoLLAs, 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 (CoLLAs, 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 (ICLR, 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)

Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains. - Jingwei Zhang 001; Jost Tobias Springenberg; Arunkumar Byravan; Leonard Hasenclever; Abbas Abdolmaleki; Dushyant Rao; Nicolas Heess; Martin A. Riedmiller (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)

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation. - Konstantinos Bousmalis; Giulia Vezzani; Dushyant Rao; Coline Devin; Alex X. Lee; Maria Bauzá 001; Todor Davchev; Yuxiang Zhou; Agrim Gupta; Akhil Raju; Antoine Laurens; Claudio Fantacci; et al. (CoRR, 2023)

Learning to Look by Self-Prediction. - Matthew Koichi Grimes; Joseph Modayil; Piotr W. Mirowski; Dushyant Rao; Raia Hadsell (Trans. Mach. Learn. Res., 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; et al. (Trans. Mach. Learn. Res., 2023)

Learning to Learn Faster from Human Feedback with Language Model Predictive Control. - Jacky Liang; Fei Xia 002; Wenhao Yu 003; Andy Zeng 001; Maria Attarian; Maria Bauzá Villalonga; Matthew Bennice; Alex Bewley; Adil Dostmohamed; Chuyuan Fu; Nimrod Gileadi; Marissa Giustina; et al. (Robotics: Science and Systems, 2024)

Learning to Learn Faster from Human Feedback with Language Model Predictive Control. - Jacky Liang; Fei Xia 002; Wenhao Yu 003; Andy Zeng 001; Montserrat Gonzalez Arenas; Maria Attarian; Maria Bauzá 001; Matthew Bennice; Alex Bewley; Adil Dostmohamed; Chuyuan Kelly Fu; Nimrod Gileadi; et al. (CoRR, 2024)

DemoStart: Demonstration-led auto-curriculum applied to sim-to-real with multi-fingered robots. - Maria Bauzá 001; 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; et al. (CoRR, 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; et al. (Trans. Mach. Learn. Res., 2024)