Alex Irpan

Authored Publications
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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)
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)
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning
Chelsea Finn
Corey Harrison Lynch
Daniel Kappler
Eric Victor Jang
Frederik Ebert
Mohi Khansari
Sergey Levine
Conference on Robot Learning (2021)
RL-CycleGAN: Improving Deep-RL Robotics With Simulation-To-Real
Chris Harris
Julian Ibarz
Mohi Khansari
Sergey Levine
CVPR 2020 (2020)
Noise Contrastive Priors for Functional Uncertainty
Danijar Hafner
Timothy Lillicrap
James Davidson
UAI (2019)
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
Paul Wohlhart
Matthew Kelcey
Mrinal Kalakrishnan
Laura Downs
Julian Ibarz
Peter Pastor Sampedro
Kurt Konolige
Sergey Levine
ICRA (2018)
Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?
Maithra Raghu
Jacob Andreas
Robert Kleinberg
Jon Kleinberg
ICML (2018)
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Dmitry Kalashnikov
Peter Pastor Sampedro
Julian Ibarz
Alexander Herzog
Eric Jang
Deirdre Quillen
Ethan Holly
Mrinal Kalakrishnan
Sergey Levine
CORL (2018)
Learning Hierarchical Information Flow with Recurrent Neural Modules
Danijar Hafner
James Davidson
Nicolas Heess
NIPS (2017)