Tairan He

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 23

Top Topics

Gaussian Process Models

Reinforcement Learning

Adaptation Process

Top Venues

Publications

Tairan He, Chong Zhang, Wenli Xiao, Guanqi He, Changliu Liu, Guanya Shi
Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion. CoRR (2024)
Tairan He, Zhengyi Luo, Wenli Xiao, Chong Zhang, Kris Kitani, Changliu Liu, Guanya Shi
Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation. CoRR (2024)
Wenli Xiao, Tairan He, John M. Dolan, Guanya Shi
Safe Deep Policy Adaptation. ICRA (2024)
Weiye Zhao, Tairan He, Feihan Li, Changliu Liu
Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning. CoRR (2024)
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 (2024)
Chong Zhang, Wenli Xiao, Tairan He, Guanya Shi
WoCoCo: Learning Whole-Body Humanoid Control with Sequential Contacts. CoRR (2024)
Zhaorun Chen, Binhao Chen, Tairan He, Liang Gong, Chengliang Liu
Progressive Adaptive Chance-Constrained Safeguards for Reinforcement Learning. CoRR (2023)
Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu
Visual Imitation Learning with Patch Rewards. CoRR (2023)
Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu
State-wise Safe Reinforcement Learning: A Survey. CoRR (2023)
Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu
Visual Imitation Learning with Patch Rewards. ICLR (2023)
Tairan He, Weiye Zhao, Changliu Liu
AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning. AAAI (2023)
Weiye Zhao, Tairan He, Changliu Liu
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models. L4DC (2023)
Weiye Zhao, Tairan He, Tianhao Wei, Simin Liu, Changliu Liu
Safety Index Synthesis via Sum-of-Squares Programming. ACC (2023)
Wenli Xiao, Tairan He, John M. Dolan, Guanya Shi
Safe Deep Policy Adaptation. CoRR (2023)
Tairan He, Weiye Zhao, Changliu Liu
AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement Learning. CoRR (2023)
Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu
State-wise Safe Reinforcement Learning: A Survey. IJCAI (2023)
Weiye Zhao, Tairan He, Changliu Liu
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models. CoRR (2022)
Weiye Zhao, Tairan He, Tianhao Wei, Simin Liu, Changliu Liu
Safety Index Synthesis via Sum-of-Squares Programming. CoRR (2022)
Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li
Reinforcement Learning with Automated Auxiliary Loss Search. CoRR (2022)
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)
Minghuan Liu, Tairan He, Minkai Xu, Weinan Zhang
Energy-Based Imitation Learning. AAMAS (2021)
Weiye Zhao, Tairan He, Changliu Liu
Model-free Safe Control for Zero-Violation Reinforcement Learning. CoRL (2021)
Minghuan Liu, Tairan He, Minkai Xu, Weinan Zhang
Energy-Based Imitation Learning. CoRR (2020)