Yevgen Chebotar

According to our database¹, Yevgen Chebotar authored at least 44 papers between 2012 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Other

Links

On csauthors.net:

Bibliography

2024

RT-H: Action Hierarchies Using Language.

[BibT_eX]

[DOI]

CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.

[BibT_eX]

[DOI]

Henrik I. Christensen

Keerthana Gopalakrishnan

Lawrence Yunliang Chen

Nur Muhammad (Mahi) Shafiullah

Roberto Martín-Martín

Subramanian Ramamoorthy

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Robotic Offline RL from Internet Videos via Value-Function Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Stop Regressing: Training Value Functions via Classification for Scalable Deep RL.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Robotic Offline RL from Internet Videos via Value-Function Pre-Training.

[BibT_eX]

[DOI]

CoRR, 2023

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators.

[BibT_eX]

[DOI]

CoRR, 2023

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

RT-1: Robotics Transformer for Real-World Control at Scale.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

ReDS: Offline RL With Heteroskedastic Datasets via Support Constraints.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PaLM-E: An Embodied Multimodal Language Model.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

2022

Supervised learning and reinforcement learning of feedback models for reactive behaviors: Tactile feedback testbed.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2022

Dual Generator Offline Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Offline RL With Realistic Datasets: Heteroskedasticity and Support Constraints.

[BibT_eX]

[DOI]

CoRR, 2022

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

[BibT_eX]

[DOI]

CoRR, 2022

DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

How to Leverage Unlabeled Data in Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

Inner Monologue: Embodied Reasoning through Planning with Language Models.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

2021

AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale.

[BibT_eX]

[DOI]

CoRR, 2021

MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale.

[BibT_eX]

[DOI]

CoRR, 2021

Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills.

[BibT_eX]

[DOI]

CoRR, 2021

Conservative Data Sharing for Multi-Task Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Visionary: Vision architecture discovery for robot learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills.

[BibT_eX]

[DOI]

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

AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Scaling Up Multi-Task Robotic Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Meta Learning via Learned Loss.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Meta-Learning via Learned Loss.

[BibT_eX]

[DOI]

CoRR, 2019

Learning Latent Space Dynamics for Tactile Servoing.

[BibT_eX]

[DOI]

Giovanni Sutanto

Nathan D. Ratliff

Balakumar Sundaralingam

Proceedings of the International Conference on Robotics and Automation, 2019

Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Time-Contrastive Networks: Self-Supervised Learning from Video.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Collective robot reinforcement learning with distributed asynchronous guided policy search.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Path integral guided policy search.

[BibT_eX]

[DOI]

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

Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Regrasping Using Tactile Perception and Supervised Policy Learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 AAAI Spring Symposia, 2017

2016

Generalizing Regrasping with Supervised Policy Learning.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Experimental Robotics, 2016

Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Distilling Knowledge from Ensembles of Neural Networks for Speech Recognition.

[BibT_eX]

[DOI]

Yevgen Chebotar

Austin Waters

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

2015

Force estimation and slip detection/classification for grip control using a biomimetic tactile sensor.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

2014

Learning robot tactile sensing for object manipulation.

[BibT_eX]

[DOI]

Yevgen Chebotar

Oliver Kroemer

Jan Peters

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

2012

Behind the Article: Recognizing Dialog Acts in Wikipedia Talk Pages.

[BibT_eX]

[DOI]

Oliver Ferschke

Iryna Gurevych

Yevgen Chebotar

Proceedings of the EACL 2012, 2012

Yevgen Chebotar

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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