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

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Ted Xiao

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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning


Nov 04, 2021
Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander Toshev, Sergey Levine, Brian Ichter


  Access Paper or Ask Questions

Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills


Apr 28, 2021
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

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 

  Access Paper or Ask Questions

Learning Latent Plans from Play


Mar 05, 2019
Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet


  Access Paper or Ask Questions

Goal-Driven Dynamics Learning via Bayesian Optimization


Sep 22, 2017
Somil Bansal, Roberto Calandra, Ted Xiao, Sergey Levine, Claire J. Tomlin

* This is the extended version of the CDC'17 paper titled "Goal-Driven Dynamics Learning via Bayesian Optimization." 

  Access Paper or Ask Questions