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Tairan He
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2020 – today
- 2024
- [c9]Wenli Xiao, Tairan He, John M. Dolan, Guanya Shi:
Safe Deep Policy Adaptation. ICRA 2024: 17286-17292 - [i14]Tairan He, Chong Zhang, Wenli Xiao, Guanqi He, Changliu Liu, Guanya Shi:
Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion. CoRR abs/2401.17583 (2024) - [i13]Tairan He, Zhengyi Luo, Wenli Xiao, Chong Zhang, Kris Kitani, Changliu Liu, Guanya Shi:
Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation. CoRR abs/2403.04436 (2024) - [i12]Weiye Zhao, Tairan He, Feihan Li, Changliu Liu:
Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning. CoRR abs/2405.02754 (2024) - [i11]Chong Zhang, Wenli Xiao, Tairan He, Guanya Shi:
WoCoCo: Learning Whole-Body Humanoid Control with Sequential Contacts. CoRR abs/2406.06005 (2024) - [i10]Tairan He, Zhengyi Luo, Xialin He, Wenli Xiao, Chong Zhang, Weinan Zhang, Kris Kitani, Changliu Liu, Guanya Shi:
OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning. CoRR abs/2406.08858 (2024) - 2023
- [c8]Tairan He, Weiye Zhao, Changliu Liu:
AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning. AAAI 2023: 14847-14855 - [c7]Weiye Zhao, Tairan He, Tianhao Wei, Simin Liu, Changliu Liu:
Safety Index Synthesis via Sum-of-Squares Programming. ACC 2023: 732-737 - [c6]Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu:
Visual Imitation Learning with Patch Rewards. ICLR 2023 - [c5]Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu:
State-wise Safe Reinforcement Learning: A Survey. IJCAI 2023: 6814-6822 - [c4]Weiye Zhao, Tairan He, Changliu Liu:
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models. L4DC 2023: 783-796 - [i9]Tairan He, Weiye Zhao, Changliu Liu:
AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement Learning. CoRR abs/2301.10339 (2023) - [i8]Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu:
Visual Imitation Learning with Patch Rewards. CoRR abs/2302.00965 (2023) - [i7]Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu:
State-wise Safe Reinforcement Learning: A Survey. CoRR abs/2302.03122 (2023) - [i6]Zhaorun Chen, Binhao Chen, Tairan He, Liang Gong, Chengliang Liu:
Progressive Adaptive Chance-Constrained Safeguards for Reinforcement Learning. CoRR abs/2310.03379 (2023) - [i5]Wenli Xiao, Tairan He, John M. Dolan, Guanya Shi:
Safe Deep Policy Adaptation. CoRR abs/2310.08602 (2023) - 2022
- [c3]Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li:
Reinforcement Learning with Automated Auxiliary Loss Search. NeurIPS 2022 - [i4]Weiye Zhao, Tairan He, Tianhao Wei, Simin Liu, Changliu Liu:
Safety Index Synthesis via Sum-of-Squares Programming. CoRR abs/2209.09134 (2022) - [i3]Weiye Zhao, Tairan He, Changliu Liu:
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models. CoRR abs/2210.01041 (2022) - [i2]Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li:
Reinforcement Learning with Automated Auxiliary Loss Search. CoRR abs/2210.06041 (2022) - 2021
- [c2]Minghuan Liu, Tairan He, Minkai Xu, Weinan Zhang:
Energy-Based Imitation Learning. AAMAS 2021: 809-817 - [c1]Weiye Zhao, Tairan He, Changliu Liu:
Model-free Safe Control for Zero-Violation Reinforcement Learning. CoRL 2021: 784-793 - 2020
- [i1]Minghuan Liu, Tairan He, Minkai Xu, Weinan Zhang:
Energy-Based Imitation Learning. CoRR abs/2004.09395 (2020)
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