Følg
Tairan He
Titel
Citeret af
Citeret af
År
Model-free safe control for zero-violation reinforcement learning
W Zhao, T He, C Liu
CoRL 2021, 2021
792021
State-wise Safe Reinforcement Learning: A Survey
W Zhao, T He, R Chen, T Wei, C Liu
IJCAI 2023 (Survey Track), 2023
602023
Energy-based imitation learning
M Liu, T He, M Xu, W Zhang
AAMAS 2021, 2020
592020
Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation
T He, Z Luo, W Xiao, C Zhang, K Kitani, C Liu, G Shi
IROS 2024, 2024
502024
Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion
T He, C Zhang, W Xiao, G He, C Liu, G Shi
RSS 2024, 2024
382024
OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning
T He, Z Luo, X He, W Xiao, C Zhang, W Zhang, K Kitani, C Liu, G Shi
CoRL 2024, 2024
352024
Safety Index Synthesis via Sum-of-Squares Programming
W Zhao, T He, T Wei, S Liu, C Liu
ACC 2023, 2022
272022
WoCoCo: Learning Whole-Body Humanoid Control with Sequential Contacts
C Zhang, W Xiao, T He, G Shi
CoRL 2024, 2024
262024
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models
W Zhao, T He, C Liu
L4DC 2023, 2022
182022
Reinforcement Learning with Automated Auxiliary Loss Search
T He, Y Zhang, K Ren, M Liu, C Wang, W Zhang, Y Yang, D Li
NeurIPS 2022, 2022
172022
AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement Learning
T He, W Zhao, C Liu
AAAI 2023, 2023
122023
Visual Imitation Learning with Patch Rewards
M Liu, T He, W Zhang, YAN Shuicheng, Z Xu
ICLR 2023, 2023
112023
Hover: Versatile neural whole-body controller for humanoid robots
T He, W Xiao, T Lin, Z Luo, Z Xu, Z Jiang, J Kautz, C Liu, G Shi, X Wang, ...
ICRA 2025, 2024
72024
Safe deep policy adaptation
W Xiao, T He, J Dolan, G Shi
ICRA 2024, 2023
72023
Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint Safeguards
Z Chen, Z Zhao, T He, B Chen, X Zhao, L Gong, C Liu
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024
32024
Progressive Adaptive Chance-Constrained Safeguards for Reinforcement Learning
Z Chen, B Chen, T He, L Gong, C Liu
IROS 2024, 2023
22023
Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning
W Zhao, T He, F Li, C Liu
arXiv preprint arXiv:2405.02754, 2024
12024
AARL: Automated Auxiliary Loss for Reinforcement Learning
T He, Y Zhang, K Ren, C Wang, W Zhang, D Li, Y Yang
12022
ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills
T He, J Gao, W Xiao, Y Zhang, Z Wang, J Wang, Z Luo, G He, ...
arXiv preprint arXiv:2502.01143, 2025
2025
Bridging Adaptivity and Safety: Learning Agile Collision-Free Locomotion Across Varied Physics
Y Zhong, C Zhang, T He, G Shi
arXiv preprint arXiv:2501.04276, 2025
2025
Systemet kan ikke foretage handlingen nu. Prøv igen senere.
Artikler 1–20