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ORCIDLiyiming Ke
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2020 – today
- 2024
[b1]Liyiming Ke:
Data-Driven Fine Manipulation. University of Washington, USA, 2024- [c10]Liyiming Ke, Yunchu Zhang, Abhay Deshpande, Siddhartha S. Srinivasa, Abhishek Gupta:
CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning. ICLR 2024 - [c9]Abhay Deshpande, Liyiming Ke, Quinn Pfeifer, Abhishek Gupta, Siddhartha S. Srinivasa:
Data Efficient Behavior Cloning for Fine Manipulation via Continuity-based Corrective Labels. IROS 2024: 8531-8538 - [c8]Andrew Wagenmaker, Kevin Huang, Liyiming Ke, Kevin G. Jamieson, Abhishek Gupta:
Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL. NeurIPS 2024 - [i10]Abhay Deshpande, Liyiming Ke, Quinn Pfeifer, Abhishek Gupta, Siddhartha S. Srinivasa:
Data Efficient Behavior Cloning for Fine Manipulation via Continuity-based Corrective Labels. CoRR abs/2405.19307 (2024) - [i9]Andrew Wagenmaker, Kevin Huang, Liyiming Ke, Byron Boots, Kevin G. Jamieson, Abhishek Gupta:
Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL. CoRR abs/2410.20254 (2024) - [i8]Kevin Black, Noah Brown, Danny Driess, Adnan Esmail, Michael Equi, Chelsea Finn, Niccolo Fusai, Lachy Groom, Karol Hausman, Brian Ichter, Szymon Jakubczak, Tim Jones, Liyiming Ke, Sergey Levine, Adrian Li-Bell, Mohith Mothukuri, Suraj Nair, Karl Pertsch, Lucy Xiaoyang Shi, James Tanner, Quan Vuong, Anna Walling, Haohuan Wang, Ury Zhilinsky:
π0: A Vision-Language-Action Flow Model for General Robot Control. CoRR abs/2410.24164 (2024) - 2023
- [c7]Gaoyue Zhou, Liyiming Ke, Siddhartha S. Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar:
Real World Offline Reinforcement Learning with Realistic Data Source. ICRA 2023: 7176-7183 - [c6]Yunchu Zhang, Liyiming Ke, Abhay Deshpande, Abhishek Gupta, Siddhartha S. Srinivasa:
Cherry-Picking with Reinforcement Learning. Robotics: Science and Systems 2023 - [i7]Yunchu Zhang, Liyiming Ke, Abhay Deshpande, Abhishek Gupta, Siddhartha S. Srinivasa:
Cherry-Picking with Reinforcement Learning. CoRR abs/2303.05508 (2023) - [i6]Liyiming Ke, Yunchu Zhang, Abhay Deshpande, Siddhartha S. Srinivasa, Abhishek Gupta:
CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning. CoRR abs/2310.12972 (2023) - 2022
- [i5]Gaoyue Zhou, Liyiming Ke, Siddhartha S. Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar:
Real World Offline Reinforcement Learning with Realistic Data Source. CoRR abs/2210.06479 (2022) - 2021
- [c5]Liyiming Ke, Jingqiang Wang, Tapomayukh Bhattacharjee, Byron Boots, Siddhartha S. Srinivasa:
Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation. ICRA 2021: 6185-6191 - [c4]Liyiming Ke, Sanjiban Choudhury, Matt Barnes, Wen Sun, Gilwoo Lee, Siddhartha S. Srinivasa:
Imitation Learning as f-Divergence Minimization. WAFR 2021: 313-329 - 2020
- [c3]Liyiming Ke, Ajinkya Kamat, Jingqiang Wang, Tapomayukh Bhattacharjee, Christoforos I. Mavrogiannis
, Siddhartha S. Srinivasa:
Telemanipulation with Chopsticks: Analyzing Human Factors in User Demonstrations. IROS 2020: 11539-11546 - [i4]Liyiming Ke, Ajinkya Kamat, Jingqiang Wang, Tapomayukh Bhattacharjee, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa:
Telemanipulation with Chopsticks: Analyzing Human Factors in User Demonstrations. CoRR abs/2008.00101 (2020) - [i3]Liyiming Ke, Jingqiang Wang, Tapomayukh Bhattacharjee, Byron Boots, Siddhartha S. Srinivasa:
Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation. CoRR abs/2011.06719 (2020)
2010 – 2019
- 2019
- [c2]Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa:
Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation. CVPR 2019: 6741-6749 - [i2]Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa:
Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation. CoRR abs/1903.02547 (2019) - [i1]Liyiming Ke, Matt Barnes, Wen Sun, Gilwoo Lee, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Imitation Learning as f-Divergence Minimization. CoRR abs/1905.12888 (2019) - 2016
- [c1]Liyiming Ke, Bo Li, Yevgeniy Vorobeychik:
Behavioral Experiments in Email Filter Evasion. AAAI 2016: 827-834
Coauthor Index
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