| Preparing for the unknown: Learning a universal policy with online system identification W Yu, J Tan, CK Liu, G Turk Robotics: Science and Systems (RSS) 2017, 2017 | 346 | 2017 |
| Language to rewards for robotic skill synthesis W Yu, N Gileadi, C Fu, S Kirmani, KH Lee, MG Arenas, HTL Chiang, ... arXiv preprint arXiv:2306.08647, 2023 | 231 | 2023 |
| Learning symmetric and low-energy locomotion W Yu, G Turk, CK Liu ACM Transactions on Graphics (TOG) 37 (4), 1-12, 2018 | 215 | 2018 |
| Sim-to-real transfer for biped locomotion W Yu, VCV Kumar, G Turk, CK Liu arXiv preprint arXiv:1903.01390, 2019 | 121 | 2019 |
| Learning to dress: Synthesizing human dressing motion via deep reinforcement learning A Clegg, W Yu, J Tan, CK Liu, G Turk ACM Transactions on Graphics (TOG) 37 (6), 1-10, 2018 | 112 | 2018 |
| Learning fast adaptation with meta strategy optimization W Yu, J Tan, Y Bai, E Coumans, S Ha IEEE Robotics and Automation Letters 5 (2), 2950-2957, 2020 | 107 | 2020 |
| Policy transfer with strategy optimization W Yu, CK Liu, G Turk International Conference on Learning Representations (ICLR), 2019 | 105 | 2019 |
| Robot learning from randomized simulations: A review F Muratore, F Ramos, G Turk, W Yu, M Gienger, J Peters Frontiers in Robotics and AI 9, 799893, 2022 | 104 | 2022 |
| Adversarial motion priors make good substitutes for complex reward functions A Escontrela, XB Peng, W Yu, T Zhang, A Iscen, K Goldberg, P Abbeel 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 99 | 2022 |
| Visual-locomotion: Learning to walk on complex terrains with vision W Yu, D Jain, A Escontrela, A Iscen, P Xu, E Coumans, S Ha, J Tan, ... 5th Annual Conference on Robot Learning, 2021 | 83 | 2021 |
| Pivot: Iterative visual prompting elicits actionable knowledge for vlms S Nasiriany, F Xia, W Yu, T Xiao, J Liang, I Dasgupta, A Xie, D Driess, ... arXiv preprint arXiv:2402.07872, 2024 | 62 | 2024 |
| Personalized collaborative plans for robot-assisted dressing via optimization and simulation A Kapusta, Z Erickson, HM Clever, W Yu, CK Liu, G Turk, CC Kemp Autonomous Robots 43, 2183-2207, 2019 | 60 | 2019 |
| Haptic Simulation for Robot-Assisted Dressing W Yu, A Kapusta, J Tan, CC Kemp, G Turk, CK Liu 2017 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2017 | 54 | 2017 |
| Constrained decision transformer for offline safe reinforcement learning Z Liu, Z Guo, Y Yao, Z Cen, W Yu, T Zhang, D Zhao International Conference on Machine Learning, 21611-21630, 2023 | 52 | 2023 |
| Dexterous manipulation of cloth Y Bai, W Yu, CK Liu Computer Graphics Forum 35 (2), 523-532, 2016 | 50 | 2016 |
| Accelerated derivative-free deep reinforcement learning for large-scale grid emergency voltage control R Huang, Y Chen, T Yin, X Li, A Li, J Tan, W Yu, Y Liu, Q Huang IEEE Transactions on Power Systems 37 (1), 14-25, 2021 | 47 | 2021 |
| Data-driven haptic perception for robot-assisted dressing A Kapusta, W Yu, T Bhattacharjee, CK Liu, G Turk, CC Kemp 2016 25th IEEE international symposium on robot and human interactive …, 2016 | 46 | 2016 |
| What does the person feel? learning to infer applied forces during robot-assisted dressing Z Erickson, A Clegg, W Yu, G Turk, CK Liu, CC Kemp 2017 IEEE International Conference on Robotics and Automation (ICRA), 6058-6065, 2017 | 45 | 2017 |
| Barkour: Benchmarking animal-level agility with quadruped robots K Caluwaerts, A Iscen, JC Kew, W Yu, T Zhang, D Freeman, KH Lee, ... arXiv preprint arXiv:2305.14654, 2023 | 42 | 2023 |
| Learning and fast adaptation for grid emergency control via deep meta reinforcement learning R Huang, Y Chen, T Yin, Q Huang, J Tan, W Yu, X Li, A Li, Y Du IEEE Transactions on Power Systems 37 (6), 4168-4178, 2022 | 39 | 2022 |
Jie TanGoogle DeepMindVerified email at google.com
