| On the Optimization Landscape of Dynamic Output Feedback Linear Quadratic Control J Duan, W Cao, Y Zheng, L Zhao IEEE Transactions on Automatic Control (Regual Paper), 2023 | 35 | 2023 |
| GOPS: A general optimal control problem solver for autonomous driving and industrial control applications W Wang, Y Zhang, J Gao, Y Jiang, Y Yang, Z Zheng, W Zou, J Li, C Zhang, ... Communications in Transportation Research 3, 100096, 2023 | 34 | 2023 |
| Accelerated inverse reinforcement learning with randomly pre-sampled policies for autonomous driving reward design L Xin, SE Li, P Wang, W Cao, B Nie, CY Chan, B Cheng 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2757-2764, 2019 | 13 | 2019 |
| Reinforcement solver for h-infinity filter with bounded noise J Li, SE Li, K Tang, Y Lv, W Cao 2020 15th IEEE International Conference on Signal Processing (ICSP) 1, 62-67, 2020 | 6 | 2020 |
| Generalized moving horizon estimation for nonlinear systems with robustness to measurement outliers W Cao, C Liu, Z Lan, Y Piao, SE Li 2023 American Control Conference (ACC), 1614-1621, 2023 | 5 | 2023 |
| Approximate optimal filter design for vehicle system through actor-critic reinforcement learning Y Yin, SE Li, K Tang, W Cao, W Wu, H Li Automotive Innovation 5 (4), 415-426, 2022 | 5 | 2022 |
| Belief state separated reinforcement learning for autonomous vehicle decision making under uncertainty Z Gu, Y Yang, J Duan, SE Li, J Chen, W Cao, S Zheng 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 3 | 2021 |
| Primal-dual estimator learning method with feasibility and near-optimality guarantees W Cao, J Duan, SE Li, C Chen, C Liu, Y Wang 2022 IEEE 61st Conference on Decision and Control (CDC), 4104-4111, 2022 | 2 | 2022 |
| Robust Bayesian Inference for Moving Horizon Estimation W Cao, C Liu, Z Lan, SE Li, W Pan, A Alessandri arXiv preprint arXiv:2210.02166, 2022 | 2 | 2022 |
| Reinforced optimal estimator W Cao, J Chen, J Duan, SE Li, Y Lyu, Z Gu, Y Zhang IFAC-PapersOnLine (Best Student Paper Finalist of IFAC Modeling, Estimation …, 2021 | 2 | 2021 |
| Convolutional Unscented Kalman Filter for Multi-Object Tracking with Outliers S Liu, W Cao, C Liu, T Zhang, SE Li arXiv preprint arXiv:2406.01380, 2024 | 1 | 2024 |
| Convolutional Bayesian Filtering W Cao, S Liu, C Liu, Z He, SST Yau, SE Li arXiv preprint arXiv:2404.00481, 2024 | 1 | 2024 |
| On the Optimization Landscape of Dynamic Output Feedback: A Case Study for Linear Quadratic Regulator J Duan, W Cao, Y Zheng, L Zhao 2022 IEEE 61st Conference on Decision and Control (CDC), 4040-4045, 2022 | 1 | 2022 |
| Computation-Aware Learning for Stable Control with Gaussian Process W Cao, A Capone, R Yadav, S Hirche, W Pan Robotics: Science and Systems (RSS) 2024, 2024 | | 2024 |
| Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control W Cao, W Pan International Conference on Learning Representations (ICLR) 2024, 2024 | | 2024 |
| Multi-sensor Calibration System for Mobile Robots W Wu, C Liu, W Cao, C Chen, H Li, SE Li 2023 7th CAA International Conference on Vehicular Control and Intelligence …, 2023 | | 2023 |
Shengbo Eben Li（李升波）Professor at Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
