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Liqun Zhao
Liqun Zhao
PhD student, Department of Engineering Science, University of Oxford
Verified email at eng.ox.ac.uk
Title
Cited by
Cited by
Year
Stable and Safe Reinforcement Learning via a Barrier-Lyapunov Actor-Critic Approach
L Zhao, K Gatsis, A Papachristodoulou
2023 62nd IEEE Conference on Decision and Control (CDC), 1320-1325, 2023
12*2023
Daniosense: automated high-throughput quantification of zebrafish larvae group movement
C Wang, M Tong, L Zhao, X Yu, S Zhuang, H Gao
IEEE Transactions on Automation Science and Engineering 19 (2), 1058-1069, 2021
62021
NLBAC: A Neural Ordinary Differential Equations-based Framework for Stable and Safe Reinforcement Learning
L Zhao, K Miao, K Gatsis, A Papachristodoulou
arXiv preprint arXiv:2401.13148, 2024
52024
Model-Free Verification for Neural Network Controlled Systems
H Wang, Z Xiong, L Zhao, A Papachristodoulou
arXiv preprint arXiv:2312.08293, 2023
22023
Data-Driven Stable Neural Feedback Loop Design
Z Xiong, H Wang, L Zhao, A Papachristodoulou
arXiv preprint arXiv:2405.02100, 2024
2024
A novel shape detection method for continuum soft manipulator based on cable encoders
H Yan
2019 Chinese Control Conference (CCC), 4709-4714, 2019
2019
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Articles 1–6