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Karol Hausman
Karol Hausman
Google Brain, Stanford
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning
T Yu, D Quillen, Z He, R Julian, K Hausman, C Finn, S Levine
Conference on robot learning, 1094-1100, 2020
8482020
Do as i can, not as i say: Grounding language in robotic affordances
M Ahn, A Brohan, N Brown, Y Chebotar, O Cortes, B David, C Finn, C Fu, ...
arXiv preprint arXiv:2204.01691, 2022
7452022
Gradient surgery for multi-task learning
T Yu, S Kumar, A Gupta, S Levine, K Hausman, C Finn
Advances in Neural Information Processing Systems 33, 5824-5836, 2020
7412020
Palm-e: An embodied multimodal language model
D Driess, F Xia, MSM Sajjadi, C Lynch, A Chowdhery, B Ichter, A Wahid, ...
arXiv preprint arXiv:2303.03378, 2023
6152023
Inner monologue: Embodied reasoning through planning with language models
W Huang, F Xia, T Xiao, H Chan, J Liang, P Florence, A Zeng, J Tompson, ...
arXiv preprint arXiv:2207.05608, 2022
4162022
Dynamics-aware unsupervised discovery of skills
A Sharma, S Gu, S Levine, V Kumar, K Hausman
arXiv preprint arXiv:1907.01657, 2019
3872019
Rt-1: Robotics transformer for real-world control at scale
A Brohan, N Brown, J Carbajal, Y Chebotar, J Dabis, C Finn, ...
arXiv preprint arXiv:2212.06817, 2022
3332022
Learning an embedding space for transferable robot skills
K Hausman, JT Springenberg, Z Wang, N Heess, M Riedmiller
International Conference on Learning Representations, 2018
3272018
Relay policy learning: Solving long-horizon tasks via imitation and reinforcement learning
A Gupta, V Kumar, C Lynch, S Levine, K Hausman
arXiv preprint arXiv:1910.11956, 2019
3062019
Interactive perception: Leveraging action in perception and perception in action
J Bohg, K Hausman, B Sankaran, O Brock, D Kragic, S Schaal, ...
IEEE Transactions on Robotics 33 (6), 1273-1291, 2017
3012017
Code as policies: Language model programs for embodied control
J Liang, W Huang, F Xia, P Xu, K Hausman, B Ichter, P Florence, A Zeng
2023 IEEE International Conference on Robotics and Automation (ICRA), 9493-9500, 2023
2872023
Force estimation and slip detection/classification for grip control using a biomimetic tactile sensor
Z Su, K Hausman, Y Chebotar, A Molchanov, GE Loeb, GS Sukhatme, ...
2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids …, 2015
2392015
Combining model-based and model-free updates for trajectory-centric reinforcement learning
Y Chebotar, K Hausman, M Zhang, G Sukhatme, S Schaal, S Levine
International conference on machine learning, 703-711, 2017
2072017
Rt-2: Vision-language-action models transfer web knowledge to robotic control
A Brohan, N Brown, J Carbajal, Y Chebotar, X Chen, K Choromanski, ...
arXiv preprint arXiv:2307.15818, 2023
1982023
Multi-modal imitation learning from unstructured demonstrations using generative adversarial nets
K Hausman, Y Chebotar, S Schaal, G Sukhatme, JJ Lim
Advances in neural information processing systems 30, 2017
1742017
Do as i can, not as i say: Grounding language in robotic affordances
A Brohan, Y Chebotar, C Finn, K Hausman, A Herzog, D Ho, J Ibarz, ...
Conference on Robot Learning, 287-318, 2023
1292023
Mt-opt: Continuous multi-task robotic reinforcement learning at scale
D Kalashnikov, J Varley, Y Chebotar, B Swanson, R Jonschkowski, ...
arXiv preprint arXiv:2104.08212, 2021
1272021
Actionable models: Unsupervised offline reinforcement learning of robotic skills
Y Chebotar, K Hausman, Y Lu, T Xiao, D Kalashnikov, J Varley, A Irpan, ...
arXiv preprint arXiv:2104.07749, 2021
1222021
Cooperative multi-robot control for target tracking with onboard sensing
K Hausman, J Müller, A Hariharan, N Ayanian, GS Sukhatme
The International Journal of Robotics Research 34 (13), 1660--1677, 2015
1002015
Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning
Y Chebotar, K Hausman, Z Su, GS Sukhatme, S Schaal
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
932016
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