Urmăriți
Tairan He
Titlu
Citat de
Citat de
Anul
Model-free safe control for zero-violation reinforcement learning
W Zhao, T He, C Liu
CoRL 2021, 2021
622021
Energy-based imitation learning
M Liu, T He, M Xu, W Zhang
AAMAS 2021, 2020
452020
State-wise Safe Reinforcement Learning: A Survey
W Zhao, T He, R Chen, T Wei, C Liu
IJCAI 2023 (Survey Track), 2023
222023
Safety Index Synthesis via Sum-of-Squares Programming
W Zhao, T He, T Wei, S Liu, C Liu
ACC 2023, 2022
192022
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models
W Zhao, T He, C Liu
L4DC 2023, 2022
132022
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
112022
AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement Learning
T He, W Zhao, C Liu
AAAI 2023, 2023
102023
Visual Imitation Learning with Patch Rewards
M Liu, T He, W Zhang, YAN Shuicheng, Z Xu
ICLR 2023, 2023
62023
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
42024
Safe deep policy adaptation
W Xiao, T He, J Dolan, G Shi
ICRA 2024, 2023
22023
Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation
T He, Z Luo, W Xiao, C Zhang, K Kitani, C Liu, G Shi
arXiv preprint arXiv:2403.04436, 2024
12024
Progressive Adaptive Chance-Constrained Safeguards for Reinforcement Learning
Z Chen, B Chen, T He, L Gong, C Liu
arXiv preprint arXiv:2310.03379, 2023
12023
Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning
W Zhao, T He, F Li, C Liu
arXiv preprint arXiv:2405.02754, 2024
2024
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