Segui
Liqun Zhao
Liqun Zhao
PhD student, Department of Engineering Science, University of Oxford
Email verificata su eng.ox.ac.uk
Titolo
Citata da
Citata da
Anno
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
9*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
32024
Model-Free Verification for Neural Network Controlled Systems
H Wang, Z Xiong, L Zhao, A Papachristodoulou
arXiv preprint arXiv:2312.08293, 2023
12023
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
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–6