| 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 | 517 | 2020 |
| 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 | 411 | 2020 |
| Learning an embedding space for transferable robot skills K Hausman, JT Springenberg, Z Wang, N Heess, M Riedmiller International Conference on Learning Representations, 2018 | 270 | 2018 |
| 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 | 263 | 2017 |
| Dynamics-aware unsupervised discovery of skills A Sharma, S Gu, S Levine, V Kumar, K Hausman arXiv preprint arXiv:1907.01657, 2019 | 259 | 2019 |
| 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 | 205 | 2015 |
| 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 | 182 | 2019 |
| 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 | 177 | 2017 |
| 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, ... arXiv preprint arXiv:2204.01691, 2022 | 175 | 2022 |
| 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 | 150 | 2017 |
| 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 | 94 | 2015 |
| 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 | 81 | 2016 |
| Active Articulation Model Estimation through Interactive Perception K Hausman, S Niekum, S Osentoski, G Sukhatme IEEE International Conference on Robotics and Automation (ICRA) 2015, 2015 | 77 | 2015 |
| 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 | 73 | 2021 |
| 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 | 68 | 2021 |
| Observability-aware trajectory optimization for self-calibration with application to uavs K Hausman, J Preiss, GS Sukhatme, S Weiss IEEE Robotics and Automation Letters 2 (3), 1770-1777, 2017 | 60 | 2017 |
| 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 | 54 | 2022 |
| Self-calibrating multi-sensor fusion with probabilistic measurement validation for seamless sensor switching on a UAV K Hausman, S Weiss, R Brockers, L Matthies, GS Sukhatme 2016 IEEE international conference on robotics and automation (ICRA), 4289-4296, 2016 | 53 | 2016 |
| Tracking-based interactive segmentation of textureless objects K Hausman, F Balint-Benczedi, D Pangercic, ZC Marton, R Ueda, ... 2013 IEEE International Conference on Robotics and Automation, 1122-1129, 2013 | 53 | 2013 |
| Never stop learning: The effectiveness of fine-tuning in robotic reinforcement learning R Julian, B Swanson, GS Sukhatme, S Levine, C Finn, K Hausman arXiv preprint arXiv:2004.10190, 2020 | 47* | 2020 |
Sergey LevineUC Berkeley, Google在 eecs.berkeley.edu 的电子邮件经过验证
