Dushyant Rao

According to our database¹, Dushyant Rao authored at least 31 papers between 2012 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

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

[BibT_eX]

[DOI]

CoRR, 2024

2023

Learning to Look by Self-Prediction.

[BibT_eX]

[DOI]

Matthew Koichi Grimes

Trans. Mach. Learn. Res., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Towards Compute-Optimal Transfer Learning.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Jingwei Zhang

Jost Tobias Springenberg

CoRR, 2023

2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Offline Distillation for Robot Lifelong Learning with Imbalanced Experience.

[BibT_eX]

[DOI]

CoRR, 2022

Learning transferable motor skills with hierarchical latent mixture policies.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2022

MO2: Model-Based Offline Options.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2022

Probing Transfer in Deep Reinforcement Learning without Task Engineering.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Task-agnostic Continual Learning with Hybrid Probabilistic Models.

[BibT_eX]

[DOI]

Polina Kirichenko

Mehrdad Farajtabar

Dushyant Rao

Balaji Lakshminarayanan

CoRR, 2021

Data-efficient Hindsight Off-policy Option Learning.

[BibT_eX]

[DOI]

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

2020

Attention-Privileged Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Attention Privileged Reinforcement Learning For Domain Transfer.

[BibT_eX]

[DOI]

CoRR, 2019

Continual Unsupervised Representation Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2018

Resource-Performance Tradeoff Analysis for Mobile Robots.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2018

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

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2018

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

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2018

2017

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

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2017

Multimodal learning and inference from visual and remotely sensed data.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2017

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

[BibT_eX]

[DOI]

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

2016

Multimodal learning from visual and remotely sensed data.

[BibT_eX]

[DOI]

Dushyant Rao

PhD thesis, 2016

Incorporating Human Domain Knowledge into Large Scale Cost Function Learning.

[BibT_eX]

[DOI]

Markus Wulfmeier

Dushyant Rao

Ingmar Posner

CoRR, 2016

Resource-Performance Trade-off Analysis for Mobile Robots.

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

Multimodal information-theoretic measures for autonomous exploration.

[BibT_eX]

[DOI]

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

2014

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

[BibT_eX]

[DOI]

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

2013

Hierarchical Classification in AUV Imagery.

[BibT_eX]

[DOI]

Proceedings of the Field and Service Robotics, 2013

2012

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

[BibT_eX]

[DOI]

Dushyant Rao

Soon-Jo Chung

Seth Hutchinson

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

Dushyant Rao

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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