Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Jump-Start Reinforcement Learning



Ikechukwu Uchendu , Ted Xiao , Yao Lu , Banghua Zhu , Mengyuan Yan , Joséphine Simon , Matthew Bennice , Chuyuan Fu , Cong Ma , Jiantao Jiao , Sergey Levine , Karol Hausman

* 20 pages, 10 figures 

   Access Paper or Ask Questions

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



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/ 

   Access Paper or Ask Questions

Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning



Abhishek Gupta , Corey Lynch , Brandon Kinman , Garrett Peake , Sergey Levine , Karol Hausman

* Interactive website at https://dbap-rl.github.io/ 

   Access Paper or Ask Questions

How to Leverage Unlabeled Data in Offline Reinforcement Learning



Tianhe Yu , Aviral Kumar , Yevgen Chebotar , Karol Hausman , Chelsea Finn , Sergey Levine


   Access Paper or Ask Questions

Autonomous Reinforcement Learning: Formalism and Benchmarking



Archit Sharma , Kelvin Xu , Nikhil Sardana , Abhishek Gupta , Karol Hausman , Sergey Levine , Chelsea Finn


   Access Paper or Ask Questions

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



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


   Access Paper or Ask Questions

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



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


   Access Paper or Ask Questions

Conservative Data Sharing for Multi-Task Offline Reinforcement Learning



Tianhe Yu , Aviral Kumar , Yevgen Chebotar , Karol Hausman , Sergey Levine , Chelsea Finn


   Access Paper or Ask Questions

Persistent Reinforcement Learning via Subgoal Curricula



Archit Sharma , Abhishek Gupta , Sergey Levine , Karol Hausman , Chelsea Finn


   Access Paper or Ask Questions

Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills



Yevgen Chebotar , Karol Hausman , Yao Lu , Ted Xiao , Dmitry Kalashnikov , Jake Varley , Alex Irpan , Benjamin Eysenbach , Ryan Julian , Chelsea Finn , Sergey Levine


   Access Paper or Ask Questions

1
2
3
4
>>