Tairan He

According to our database, Tairan He authored at least 15 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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 Kitani, Changliu Liu, Guanya Shi

CoRR, 2024

WoCoCo: Learning Whole-Body Humanoid Control with Sequential Contacts.

Chong Zhang, Wenli Xiao, Tairan He, Guanya Shi

CoRR, 2024

Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning.

Weiye Zhao, Tairan He, Feihan Li, Changliu Liu

CoRR, 2024

Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation.

Tairan He, Zhengyi Luo, Wenli Xiao, Chong Zhang, Kris Kitani, Changliu Liu, Guanya Shi

CoRR, 2024

Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion.

Tairan He, Chong Zhang, Wenli Xiao, Guanqi He, Changliu Liu, Guanya Shi

CoRR, 2024

Safe Deep Policy Adaptation.

Wenli Xiao, Tairan He, John M. Dolan, Guanya Shi

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Progressive Adaptive Chance-Constrained Safeguards for Reinforcement Learning.

Zhaorun Chen, Binhao Chen, Tairan He, Liang Gong, Chengliang Liu

CoRR, 2023

Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models.

Weiye Zhao, Tairan He, Changliu Liu

Proceedings of the Learning for Dynamics and Control Conference, 2023

State-wise Safe Reinforcement Learning: A Survey.

Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Visual Imitation Learning with Patch Rewards.

Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Safety Index Synthesis via Sum-of-Squares Programming.

Weiye Zhao, Tairan He, Tianhao Wei, Simin Liu, Changliu Liu

Proceedings of the American Control Conference, 2023

AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning.

Tairan He, Weiye Zhao, Changliu Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Reinforcement Learning with Automated Auxiliary Loss Search.

Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Model-free Safe Control for Zero-Violation Reinforcement Learning.

Weiye Zhao, Tairan He, Changliu Liu

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Energy-Based Imitation Learning.

Minghuan Liu, Tairan He, Minkai Xu, Weinan Zhang

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021