Alex X. Lee

According to our database, Alex X. Lee authored at least 19 papers between 2013 and 2023.

Collaborative distances:

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

2023

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation.

Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Devin, Alex X. Lee, Maria Bauzá, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo F. Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe, Emilio Parisotto, Konrad Zolna, Scott E. Reed, Sergio Gómez Colmenarejo, Jon Scholz, Abbas Abdolmaleki, Oliver Groth, Jean-Baptiste Regli, Oleg Sushkov, Thomas Rothörl, Jose Enrique Chen, Yusuf Aytar, Dave Barker, Joy Ortiz, Martin A. Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess

CoRR, 2023

2022

How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation.

Alex X. Lee, Coline Devin, Jost Tobias Springenberg, Yuxiang Zhou, Thomas Lampe, Abbas Abdolmaleki, Konstantinos Bousmalis

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes.

Alex X. Lee, Coline Manon Devin, Yuxiang Zhou, Thomas Lampe, Konstantinos Bousmalis, Jost Tobias Springenberg, Arunkumar Byravan, Abbas Abdolmaleki, Nimrod Gileadi, David Khosid, Claudio Fantacci, Jose Enrique Chen, Akhil Raju, Rae Jeong, Michael Neunert, Antoine Laurens, Stefano Saliceti, Federico Casarini, Martin A. Riedmiller, Raia Hadsell, Francesco Nori

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

2020

Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model.

Alex X. Lee, Anusha Nagabandi, Pieter Abbeel, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control.

Frederik Ebert, Chelsea Finn, Sudeep Dasari, Annie Xie, Alex X. Lee, Sergey Levine

CoRR, 2018

Stochastic Adversarial Video Prediction.

Alex X. Lee, Richard Zhang, Frederik Ebert, Pieter Abbeel, Chelsea Finn, Sergey Levine

CoRR, 2018

Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning.

Frederik Ebert, Sudeep Dasari, Alex X. Lee, Sergey Levine, Chelsea Finn

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

Learning Visual Servoing with Deep Features and Fitted Q-Iteration.

Alex X. Lee, Sergey Levine, Pieter Abbeel

Proceedings of the 5th International Conference on Learning Representations, 2017

Self-Supervised Visual Planning with Temporal Skip Connections.

Frederik Ebert, Chelsea Finn, Alex X. Lee, Sergey Levine

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2015

Learning from multiple demonstrations using trajectory-aware non-rigid registration with applications to deformable object manipulation.

Alex X. Lee, Abhishek Gupta, Henry Lu, Sergey Levine, Pieter Abbeel

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Learning force-based manipulation of deformable objects from multiple demonstrations.

Alex X. Lee, Henry Lu, Abhishek Gupta, Sergey Levine, Pieter Abbeel

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

A non-rigid point and normal registration algorithm with applications to learning from demonstrations.

Alex X. Lee, Max A. Goldstein, Shane T. Barratt, Pieter Abbeel

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Beyond lowest-warping cost action selection in trajectory transfer.

Dylan Hadfield-Menell, Alex X. Lee, Chelsea Finn, Eric Tzeng, Sandy H. Huang, Pieter Abbeel

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Motion planning with sequential convex optimization and convex collision checking.

John Schulman, Yan Duan, Jonathan Ho, Alex X. Lee, Ibrahim Awwal, Henry Bradlow, Jia Pan, Sachin Patil, Ken Goldberg, Pieter Abbeel

Int. J. Robotics Res., 2014

Unifying scene registration and trajectory optimization for learning from demonstrations with application to manipulation of deformable objects.

Alex X. Lee, Sandy H. Huang, Dylan Hadfield-Menell, Eric Tzeng, Pieter Abbeel

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Autonomous multilateral debridement with the Raven surgical robot.

Ben Kehoe, Gregory Kahn, Jeffrey Mahler, Jonathan Kim, Alex X. Lee, Anna Lee, Keisuke Nakagawa, Sachin Patil, W. Douglas Boyd, Pieter Abbeel, Kenneth Y. Goldberg

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013

Finding Locally Optimal, Collision-Free Trajectories with Sequential Convex Optimization.

John Schulman, Jonathan Ho, Alex X. Lee, Ibrahim Awwal, Henry Bradlow, Pieter Abbeel

Proceedings of the Robotics: Science and Systems IX, Technische Universität Berlin, Berlin, Germany, June 24, 2013

Sigma hulls for Gaussian belief space planning for imprecise articulated robots amid obstacles.

Alex X. Lee, Yan Duan, Sachin Patil, John Schulman, Zoe McCarthy, Jur van den Berg, Ken Goldberg, Pieter Abbeel

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Tracking deformable objects with point clouds.

John Schulman, Alex X. Lee, Jonathan Ho, Pieter Abbeel

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013