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Multi-Game Decision Transformers


May 30, 2022
Kuang-Huei Lee, Ofir Nachum, Mengjiao Yang, Lisa Lee, Daniel Freeman, Winnie Xu, Sergio Guadarrama, Ian Fischer, Eric Jang, Henryk Michalewski, Igor Mordatch


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


Apr 04, 2022
Michael Ahn, Anthony Brohan, Noah Brown, Yevgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alex Herzog, Daniel Ho, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Eric Jang, Rosario Jauregui Ruano, Kyle Jeffrey, Sally Jesmonth, Nikhil J Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Kuang-Huei Lee, Sergey Levine, Yao Lu, Linda Luu, Carolina Parada, Peter Pastor, Jornell Quiambao, Kanishka Rao, Jarek Rettinghouse, Diego Reyes, Pierre Sermanet, Nicolas Sievers, Clayton Tan, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Mengyuan Yan

* See website at https://say-can.github.io/ 

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Bayesian Imitation Learning for End-to-End Mobile Manipulation


Feb 15, 2022
Yuqing Du, Daniel Ho, Alexander A. Alemi, Eric Jang, Mohi Khansari


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BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning


Feb 04, 2022
Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, Chelsea Finn

* Conference on Robot Learning (pp. 991-1002). 2022 Jan 11 
* CoRL 2021, 23 pages 

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Practical Imitation Learning in the Real World via Task Consistency Loss


Feb 03, 2022
Mohi Khansari, Daniel Ho, Yuqing Du, Armando Fuentes, Matthew Bennice, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Eric Jang


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


Nov 11, 2021
Yao Lu, Karol Hausman, Yevgen Chebotar, Mengyuan Yan, Eric Jang, Alexander Herzog, Ted Xiao, Alex Irpan, Mohi Khansari, Dmitry Kalashnikov, Sergey Levine


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


Nov 09, 2021
Yao Lu, Karol Hausman, Yevgen Chebotar, Mengyuan Yan, Eric Jang, Alexander Herzog, Ted Xiao, Alex Irpan, Mohi Khansari, Dmitry Kalashnikov, Sergey Levine


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RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer


Nov 06, 2020
Daniel Ho, Kanishka Rao, Zhuo Xu, Eric Jang, Mohi Khansari, Yunfei Bai

* 9 pages; Submitted to the International Conference on Robotics and Automation (ICRA) 2021 

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Meta-Learning Requires Meta-Augmentation


Jul 10, 2020
Janarthanan Rajendran, Alex Irpan, Eric Jang

* 14 pages, 8 figures. Code at https://github.com/google-research/google-research/tree/master/maml_nonexclusive 

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Thinking While Moving: Deep Reinforcement Learning with Concurrent Control


Apr 25, 2020
Ted Xiao, Eric Jang, Dmitry Kalashnikov, Sergey Levine, Julian Ibarz, Karol Hausman, Alexander Herzog

* Published as a conference paper at ICLR 2020 

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