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Julian Ibarz — most-cited papers & profile · Robotics
← authors
·
overview
Julian Ibarz
20
papers ·
1526
citations ·
24
h-index
Google (United States)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
2018 · 575 citations
End-to-End Learning of Semantic Grasping
2017 · 39 citations
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
2023 · 16 citations
RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real
2020 · 14 citations
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
2020 · 9 citations
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
2017 · 1 citations
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods
2018
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks
2018
Visionary: Vision architecture discovery for robot learning
2021
Top co-authors
Sergey Levine
· 8
Alex Irpan
· 5
Dmitry Kalashnikov
· 4
Eric Jang
· 4
Alexander Herzog
· 3
Mrinal Kalakrishnan
· 3
Peter Pastor
· 3
Chelsea Finn
· 2
Deirdre Quillen
· 2
Kanishka Rao
· 2
Karol Hausman
· 2
Konstantinos Bousmalis
· 2
Topics
Manipulation
Perception
Sim-to-Real
Control
Humanoid
Human-Robot Interaction