He, Tairan

15 publications

L4DC 2025 Bridging Adaptivity and Safety: Learning Agile Collision-Free Locomotion Across Varied Physics Yichao Zhong, Chong Zhang, Tairan He, Guanya Shi
CoRL 2025 Hold My Beer: Learning Gentle Humanoid Locomotion and End-Effector Stabilization Control Yitang Li, Yuanhang Zhang, Wenli Xiao, Chaoyi Pan, Haoyang Weng, Guanqi He, Tairan He, Guanya Shi
CoRL 2025 Humanoid Policy   Human Policy Ri-Zhao Qiu, Shiqi Yang, Xuxin Cheng, Chaitanya Chawla, Jialong Li, Tairan He, Ge Yan, David J. Yoon, Ryan Hoque, Lars Paulsen, Ge Yang, Jian Zhang, Sha Yi, Guanya Shi, Xiaolong Wang
JAIR 2025 Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning Weiye Zhao, Feihan Li, Tairan He, Changliu Liu
CoRL 2025 Sampling-Based System Identification with Active Exploration for Legged Sim2Real Learning Nikhil Sobanbabu, Guanqi He, Tairan He, Yuxiang Yang, Guanya Shi
ICLRW 2025 Scalable Humanoid Whole-Body Control via Differentiable Neural Network Dynamics Yu Lei, Zhengyi Luo, Tairan He, Jinkun Cao, Guanya Shi, Kris Kitani
CoRL 2024 OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning Tairan He, Zhengyi Luo, Xialin He, Wenli Xiao, Chong Zhang, Weinan Zhang, Kris M. Kitani, Changliu Liu, Guanya Shi
CoRL 2024 WoCoCo: Learning Whole-Body Humanoid Control with Sequential Contacts Chong Zhang, Wenli Xiao, Tairan He, Guanya Shi
AAAI 2023 AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning Tairan He, Weiye Zhao, Changliu Liu
L4DC 2023 Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models Weiye Zhao, Tairan He, Changliu Liu
IJCAI 2023 State-Wise Safe Reinforcement Learning: A Survey Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu
ICLR 2023 Visual Imitation Learning with Patch Rewards Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu
NeurIPS 2022 Reinforcement Learning with Automated Auxiliary Loss Search Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li
NeurIPSW 2022 Visual Imitation Learning with Patch Rewards Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu
CoRL 2021 Model-Free Safe Control for Zero-Violation Reinforcement Learning Weiye Zhao, Tairan He, Changliu Liu