Alex X. Lee
Alex X. Lee
Research Scientist, DeepMind
Geverifieerd e-mailadres voor deepmind.com - Homepage
Geciteerd door
Geciteerd door
Motion planning with sequential convex optimization and convex collision checking
J Schulman, Y Duan, J Ho, A Lee, I Awwal, H Bradlow, J Pan, S Patil, ...
The International Journal of Robotics Research 33 (9), 1251-1270, 2014
Finding locally optimal, collision-free trajectories with sequential convex optimization.
J Schulman, J Ho, AX Lee, I Awwal, H Bradlow, P Abbeel
Robotics: science and systems 9 (1), 1-10, 2013
Stochastic adversarial video prediction
AX Lee, R Zhang, F Ebert, P Abbeel, C Finn, S Levine
arXiv preprint arXiv:1804.01523, 2018
Visual foresight: Model-based deep reinforcement learning for vision-based robotic control
F Ebert, C Finn, S Dasari, A Xie, A Lee, S Levine
arXiv preprint arXiv:1812.00568, 2018
Stochastic latent actor-critic: Deep reinforcement learning with a latent variable model
AX Lee, A Nagabandi, P Abbeel, S Levine
Advances in Neural Information Processing Systems 33, 741-752, 2020
Self-Supervised Visual Planning with Temporal Skip Connections.
F Ebert, C Finn, AX Lee, S Levine
CoRL 12, 16, 2017
Tracking deformable objects with point clouds
J Schulman, A Lee, J Ho, P Abbeel
Robotics and Automation (ICRA), 2013 IEEE International Conference on, 1130-1137, 2013
Learning force-based manipulation of deformable objects from multiple demonstrations
AX Lee, H Lu, A Gupta, S Levine, P Abbeel
2015 IEEE International Conference on Robotics and Automation (ICRA), 177-184, 2015
Autonomous multilateral debridement with the raven surgical robot
B Kehoe, G Kahn, J Mahler, J Kim, A Lee, K Lee, Anna, Nakagawa, S Patil, ...
Robotics and Automation (ICRA), 2014 IEEE International Conference on, 1432-1439, 2014
Learning visual servoing with deep features and fitted Q-iteration
AX Lee, S Levine, P Abbeel
arXiv preprint arXiv:1703.11000, 2017
Robustness via retrying: Closed-loop robotic manipulation with self-supervised learning
F Ebert, S Dasari, AX Lee, S Levine, C Finn
Conference on robot learning, 983-993, 2018
Beyond pick-and-place: Tackling robotic stacking of diverse shapes
AX Lee, CM Devin, Y Zhou, T Lampe, K Bousmalis, JT Springenberg, ...
5th Annual Conference on Robot Learning, 2021
Sigma hulls for gaussian belief space planning for imprecise articulated robots amid obstacles
A Lee, Y Duan, S Patil, J Schulman, Z McCarthy, J van den Berg, ...
Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International …, 2013
Learning from multiple demonstrations using trajectory-aware non-rigid registration with applications to deformable object manipulation
AX Lee, A Gupta, H Lu, S Levine, P Abbeel
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
Unifying scene registration and trajectory optimization for learning from demonstrations with application to manipulation of deformable objects
AX Lee, SH Huang, D Hadfield-Menell, E Tzeng, P Abbeel
Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International …, 2014
A non-rigid point and normal registration algorithm with applications to learning from demonstrations
AX Lee, MA Goldstein, ST Barratt, P Abbeel
2015 IEEE International Conference on Robotics and Automation (ICRA), 935-942, 2015
How to spend your robot time: Bridging kickstarting and offline reinforcement learning for vision-based robotic manipulation
AX Lee, C Devin, JT Springenberg, Y Zhou, T Lampe, A Abdolmaleki, ...
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
Beyond lowest-warping cost action selection in trajectory transfer
D Hadfield-Menell, AX Lee, C Finn, E Tzeng, S Huang, P Abbeel
2015 IEEE International Conference on Robotics and Automation (ICRA), 3231-3238, 2015
Checking robustness to weak persistency models
H Gorjiara, W Luo, A Lee, GH Xu, B Demsky
Proceedings of the 43rd ACM SIGPLAN International Conference on Programming …, 2022
Visual Dynamics Models for Robotic Planning and Control
AX Lee
University of California, Berkeley, 2019
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