He, Tairan

16 publications

ICLR 2026 Self-Improving Vision-Language-Action Models with Data Generation via Residual RL Wenli Xiao, Haotian Lin, Andy Peng, Haoru Xue, Tairan He, Zhengyi Luo, Yuqi Xie, Fengyuan Hu, Linxi Fan, Guanya Shi, Yuke Zhu

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