Wenhan Cao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Unscented Kalman Filter

Linear Quadratic

Reinforcement Learning

Top Venues

Publications

Wenhan Cao, Wei Pan
Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control. CoRR (2024)
Wenhan Cao, Shiqi Liu, Chang Liu, Zeyu He, Stephen S.-T. Yau, Shengbo Eben Li
Convolutional Bayesian Filtering. CoRR (2024)
Wenhan Cao, Wei Pan
Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control. ICLR (2024)
Jingliang Duan, Wenhan Cao, Yang Zheng, Lin Zhao
On the Optimization Landscape of Dynamic Output Feedback Linear Quadratic Control. IEEE Trans. Autom. Control. 69 (2) (2024)
Shiqi Liu, Wenhan Cao, Chang Liu, Tianyi Zhang, Shengbo Eben Li
Convolutional Unscented Kalman Filter for Multi-Object Tracking with Outliers. CoRR (2024)
Wenhan Cao, Alexandre Capone, Rishabh Yadav, Sandra Hirche, Wei Pan
Computation-Aware Learning for Stable Control with Gaussian Process. CoRR (2024)
Wenhan Cao, Alexandre Capone, Sandra Hirche, Wei Pan
Analyzing the Impact of Computation in Adaptive Dynamic Programming for Stochastic LQR Problem. CoRR (2024)
Yuxin Lin, Xinyi Zhou, Wenhan Cao
3D-Printed Hydraulic Fluidic Logic Circuitry for Soft Robots. CoRR (2024)
Wenhan Cao, Zhiping Wen, Huaizhi Su
Spatiotemporal clustering analysis and zonal prediction model for deformation behavior of super-high arch dams. Expert Syst. Appl. 216 (2023)
Wenhan Cao, Chang Liu, Zhiqian Lan, Yingxi Piao, Shengbo Eben Li
Generalized Moving Horizon Estimation for Nonlinear Systems with Robustness to Measurement Outliers. ACC (2023)
Wenhan Cao, Jingliang Duan, Shengbo Eben Li, Chen Chen, Chang Liu, Yu Wang
Primal-Dual Estimator Learning Method with Feasibility and Near-Optimality Guarantees. CDC (2022)
Jingliang Duan, Wenhan Cao, Yang Zheng, Lin Zhao
On the Optimization Landscape of Dynamic Output Feedback Linear Quadratic Control. CoRR (2022)
Jingliang Duan, Wenhan Cao, Yang Zheng, Lin Zhao
On the Optimization Landscape of Dynamic Output Feedback: A Case Study for Linear Quadratic Regulator. CDC (2022)
Wenhan Cao, Jingliang Duan, Shengbo Eben Li, Chen Chen, Chang Liu, Yu Wang
Primal-dual Estimator Learning: an Offline Constrained Moving Horizon Estimation Method with Feasibility and Near-optimality Guarantees. CoRR (2022)
Jingliang Duan, Wenhan Cao, Yang Zheng, Lin Zhao
On the Optimization Landscape of Dynamic Output Feedback: A Case Study for Linear Quadratic Regulator. CoRR (2022)
Wenhan Cao, Chang Liu, Zhiqian Lan, Yingxi Piao, Shengbo Eben Li
Generalized Moving Horizon Estimation for Nonlinear Systems with Robustness to Measurement Outliers. CoRR (2022)
Ziqing Gu, Yujie Yang, Jingliang Duan, Shengbo Eben Li, Jianyu Chen, Wenhan Cao, Sifa Zheng
Belief state separated reinforcement learning for autonomous vehicle decision making under uncertainty. ITSC (2021)
Kaiming Tang, Shengbo Eben Li, Yuming Yin, Yang Guan, Jingliang Duan, Wenhan Cao, Jie Li
Approximate Optimal Filter for Linear Gaussian Time-invariant Systems. CoRR (2021)
Jie Li, Shengbo Eben Li, Kaiming Tang, Yao Lv, Wenhan Cao
Reinforcement Solver for H-infinity Filter with Bounded Noise. CoRR (2020)
Long Xin, Shengbo Eben Li, Pin Wang, Wenhan Cao, Bingbing Nie, Ching-Yao Chan, Bo Cheng
Accelerated Inverse Reinforcement Learning with Randomly Pre-sampled Policies for Autonomous Driving Reward Design. ITSC (2019)