Julian Ibarz

Orcid: 0000-0002-9920-6978

According to our database¹, Julian Ibarz authored at least 35 papers between 2011 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Links

On csauthors.net:

Bibliography

2023

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

[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

Token Turing Machines.

[BibT_eX]

[DOI]

Michael S. Ryoo

Keerthana Gopalakrishnan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

2022

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

[BibT_eX]

[DOI]

CoRR, 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

2021

Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

How to train your robot with deep reinforcement learning: lessons we have learned.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2021

MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance.

[BibT_eX]

[DOI]

CoRR, 2021

How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned.

[BibT_eX]

[DOI]

CoRR, 2021

Visionary: Vision architecture discovery for robot learning.

[BibT_eX]

[DOI]

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

2020

Thinking While Moving: Deep Reinforcement Learning with Concurrent Control.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Off-Policy Evaluation via Off-Policy Classification.

[BibT_eX]

[DOI]

Alexander Irpan

Kanishka Rao

Konstantinos Bousmalis

Chris Harris

Julian Ibarz

Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Diversity is All You Need: Learning Skills without a Reward Function.

[BibT_eX]

[DOI]

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

Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks.

[BibT_eX]

[DOI]

Konstantinos Bousmalis

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2018

QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation.

[BibT_eX]

[DOI]

CoRR, 2018

Guided Attention for Large Scale Scene Text Verification.

[BibT_eX]

[DOI]

CoRR, 2018

Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods.

[BibT_eX]

[DOI]

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

Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping.

[BibT_eX]

[DOI]

Konstantinos Bousmalis

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

Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Large Scale Scene Text Verification with Guided Attention.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Discrete Sequential Prediction of Continuous Actions for Deep RL.

[BibT_eX]

[DOI]

CoRR, 2017

In-Datacenter Performance Analysis of a Tensor Processing Unit.

[BibT_eX]

[DOI]

Tara Vazir Ghaemmaghami

CoRR, 2017

In-Datacenter Performance Analysis of a Tensor Processing Unit.

[BibT_eX]

[DOI]

Tara Vazir Ghaemmaghami

Proceedings of the 44th Annual International Symposium on Computer Architecture, 2017

Attention-Based Extraction of Structured Information from Street View Imagery.

[BibT_eX]

[DOI]

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

End-to-End Learning of Semantic Grasping.

[BibT_eX]

[DOI]

Eric Jang

Sudheendra Vijayanarasimhan

Peter Pastor

Julian Ibarz

Sergey Levine

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016

End-to-End Interpretation of the French Street Name Signs Dataset.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015

Large Scale Business Discovery from Street Level Imagery.

[BibT_eX]

[DOI]

CoRR, 2015

2014

Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Conference on Learning Representations, 2014

2011

Esophagus Silhouette Extraction and Reconstruction From Fluoroscopic Views for Cardiac Ablation Procedure Guidance.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Technol. Biomed., 2011

Julian Ibarz

Timeline

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On csauthors.net:

Bibliography

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