Jake Varley

According to our database, Jake Varley authored at least 11 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention.

Isabel Leal, Krzysztof Choromanski, Deepali Jain, Avinava Dubey, Jake Varley, Michael S. Ryoo, Yao Lu, Frederick Liu, Vikas Sindhwani, Quan Vuong, Tamás Sarlós, Ken Oslund, Karol Hausman, Kanishka Rao

CoRR, 2023

Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning.

David Brandfonbrener, Stephen Tu, Avi Singh, Stefan Welker, Chad Boodoo, Nikolai Matni, Jake Varley

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners.

Allen Z. Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Jake Varley, Zhenjia Xu, Dorsa Sadigh, Andy Zeng, Anirudha Majumdar

Proceedings of the Conference on Robot Learning, 2023

2022

Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning.

Aditya Ganapathi, Pete Florence, Jake Varley, Kaylee Burns, Ken Goldberg, Andy Zeng

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Hybrid Random Features.

Krzysztof Marcin Choromanski, Han Lin, Haoxian Chen, Arijit Sehanobish, Yuanzhe Ma, Deepali Jain, Jake Varley, Andy Zeng, Michael S. Ryoo, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas Sindhwani, Adrian Weller

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation.

Xuesu Xiao, Tingnan Zhang, Krzysztof Marcin Choromanski, Tsang-Wei Edward Lee, Anthony G. Francis, Jake Varley, Stephen Tu, Sumeet Singh, Peng Xu, Fei Xia, Sven Mikael Persson, Dmitry Kalashnikov, Leila Takayama, Roy Frostig, Jie Tan, Carolina Parada, Vikas Sindhwani

Proceedings of the Conference on Robot Learning, 2022

2021

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

CoRR, 2021

Scaling Up Multi-Task Robotic Reinforcement Learning.

Dmitry Kalashnikov, Jake Varley, Yevgen Chebotar, Benjamin Swanson, Rico Jonschkowski, Chelsea Finn, Sergey Levine, Karol Hausman

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Time Dependence in Non-Autonomous Neural ODEs.

Jared Quincy Davis, Krzysztof Choromanski, Jake Varley, Honglak Lee, Jean-Jacques E. Slotine, Valerii Likhosterov, Adrian Weller, Ameesh Makadia, Vikas Sindhwani

CoRR, 2020

2019

Teleoperator Imitation with Continuous-time Safety.

Bachir El Khadir, Jake Varley, Vikas Sindhwani

CoRR, 2019

2017

Task level hierarchical system for BCI-enabled shared autonomy.

Iretiayo Akinola, Boyuan Chen, Jonathan Koss, Aalhad Patankar, Jake Varley, Peter K. Allen

Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017