Ted Xiao
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Authored Publications
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Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
Jarek Rettinghouse
Daniel Ho
Julian Ibarz
Sangeetha Ramesh
Matt Bennice
Alexander Herzog
Chuyuan Kelly Fu
Adrian Li
Kim Kleiven
Jeff Bingham
Yevgen Chebotar
David Rendleman
Wenlong Lu
Mohi Khansari
Mrinal Kalakrishnan
Ying Xu
Noah Brown
Khem Holden
Justin Vincent
Peter Pastor Sampedro
Jessica Lin
David Dovo
Daniel Kappler
Mengyuan Yan
Sergey Levine
Jessica Lam
Jonathan Weisz
Paul Wohlhart
Karol Hausman
Cameron Lee
Bob Wei
Yao Lu
2023
Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models
Harris Chan
Anthony Brohan
Karol Hausman
Sergey Levine
RSS 2023 (2023)
Jump-Start Reinforcement Learning
Ike Uchendu
Yao Lu
Banghua Zhu
Mengyuan Yan
Joséphine Simon
Matt Bennice
Chuyuan Kelly Fu
Cong Ma
Jiantao Jiao
Sergey Levine
Karol Hausman
NeurIPS 2021 Robot Learning Workshop, RSS 2022 Scaling Robot Learning Workshop
InnerMonologue: Embodied Reasoning through Planning with Language Models
Wenlong Huang
Harris Chan
Jacky Liang
Pete Florence
Andy Zeng
Igor Mordatch
Yevgen Chebotar
Noah Brown
Tomas Jackson
Linda Luu
Sergey Levine
Karol Hausman
Brian Andrew Ichter
Conference on Robot Learning (2022) (to appear)
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning
Alexander Toshkov Toshev
Brian Andrew Ichter
Dhruv Shah
Peng Xu
Sergey Levine
Yao Lu
ICLR (2022)
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Alexander Herzog
Alexander Toshkov Toshev
Andy Zeng
Anthony Brohan
Brian Andrew Ichter
Byron David
Chelsea Finn
Clayton Tan
Diego Reyes
Dmitry Kalashnikov
Eric Victor Jang
Jarek Liam Rettinghouse
Jornell Lacanlale Quiambao
Julian Ibarz
Karol Hausman
Kyle Alan Jeffrey
Linda Luu
Mengyuan Yan
Michael Soogil Ahn
Nicolas Sievers
Noah Brown
Omar Eduardo Escareno Cortes
Peng Xu
Peter Pastor Sampedro
Rosario Jauregui Ruano
Sally Augusta Jesmonth
Sergey Levine
Steve Xu
Yao Lu
Yevgen Chebotar
Yuheng Kuang
Conference on Robot Learning (CoRL) (2022)
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale
Adrian Li
Paul Wohlhart
Ian Fischer
Yao Lu
Conference on Robot Learning (CoRL) (2022)
AW-Opt: Learning Robotic Skills with Imitationand Reinforcement at Scale
Yao Lu
Karol Hausman
Yevgen Chebotar
Mengyuan Yan
Eric Victor Jang
Alexander Herzog
Mohi Khansari
Dmitry Kalashnikov
Sergey Levine
Conference on Robot Learning 2021 (2021)
Actionable Models: Unsupervised Offline Learning of Robotic Skills
Benjamin Eysenbach
Chelsea Finn
Dmitry Kalashnikov
Jake Varley
Karol Hausman
Sergey Levine
Yao Lu
Yevgen Chebotar
International Conference on Machine Learning 2021 (2021)
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
Eric Victor Jang
Dmitry Kalashnikov
Sergey Levine
Julian Ibarz
Karol Hausman
Alexander Herzog
ICLR 2020
