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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)
Long-Range Indoor Navigation with PRM-RL
Anthony Francis
Marek Fiser
Tsang-Wei Lee
IEEE Transactions on Robotics (T-RO) (2020), pp. 19
Provably Robust Blackbox Optimization for Reinforcement Learning
Aldo Pacchiano
Jack Parker-Holder
Yunhao Tang
Yuxiang Yang
Conference on Robot Learning (CoRL 2019)
RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies
Marek Fiser
Lydia Tapia
IEEE Robotics and Automation Letters (RA-L) (2019)
Time-Contrastive Networks: Self-Supervised Learning from Video
Corey Lynch
Yevgen Chebotar
Eric Jang
Stefan Schaal
Sergey Levine
Proceedings of International Conference in Robotics and Automation (ICRA 2018) + Deep Learning for Robotic Vision (DLRV) Workshop at CVPR 2017 + Deep Reinforcement Learning Symposium at NIPS 2017 (2018)
Learning 6-DOF Grasping Interaction via Deep 3D Geometry-aware Representations
Xinchen Yan
Mohi Khansari
Abhinav Gupta
James Davidson
Honglak Lee
(2018)
