Yunduan Cui

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 38

Top Topics

Gaussian Process

Reinforcement Learning

Autonomous Vehicles

Top Venues

Publications

Yunduan Cui, Wenbo Shi, Huan Yang, Cuiping Shao, Lei Peng, Huiyun Li
Probabilistic Model-Based Reinforcement Learning Unmanned Surface Vehicles Using Local Update Sparse Spectrum Approximation. IEEE Trans. Ind. Informatics 20 (2) (2024)
Jia Liu, Yunduan Cui, Jianghua Duan, Zhengmin Jiang, Zhongming Pan, Kun Xu, Huiyun Li
Reinforcement Learning-Based High-Speed Path Following Control for Autonomous Vehicles. IEEE Trans. Veh. Technol. 73 (6) (2024)
Yixuan Ku, Chen Guo, Kangshuai Zhang, Yunduan Cui, Hongfeng Shu, Yang Yang, Lei Peng
Toward Directed Spatiotemporal Graph: A New Idea for Heterogeneous Traffic Prediction. IEEE Intell. Transp. Syst. Mag. 16 (2) (2024)
Renxing Li, Zhiwei Shang, Chunhua Zheng, Huiyun Li, Qing Liang, Yunduan Cui
Efficient distributional reinforcement learning with Kullback-Leibler divergence regularization. Appl. Intell. 53 (21) (2023)
Wenjun Huang, Yunduan Cui, Huiyun Li, Xinyu Wu
Practical Probabilistic Model-based Deep Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory Sampling. CoRR (2023)
Chenyang Miao, Yunduan Cui, Huiyun Li, Xinyu Wu
Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy Regularization. CoRR (2023)
Yunduan Cui, Lei Peng, Huiyun Li
Filtered Probabilistic Model Predictive Control-Based Reinforcement Learning for Unmanned Surface Vehicles. IEEE Trans. Ind. Informatics 18 (10) (2022)
Lei Xia, Cuiping Shao, Huiyun Li, Yunduan Cui
Robust Model-based Reinforcement Learning USV System Guided by Lyapunov Neural Networks. ROBIO (2022)
Deliang Liu, Kun Xu, Yunduan Cui, Yujie Zou, Zhongming Pan
Learning-based Motion Control of Autonomous Vehicles Considering Varying Adhesion Road Surfaces. ITSC (2022)
Yunfu Deng, Kun Xu, Yue Hu, Yunduan Cui, Gengzhao Xiang, Zhongming Pan
Learning Effectively from Intervention for Visual-based Autonomous Driving. ITSC (2022)
Cuiping Shao, Zujia Miao, Beizhang Chen, Yunduan Cui, Huiyun Li, Hongfeng Shu
An Attack Detection Method Based on Spatiotemporal Correlation for Autonomous Vehicles Sensors. ITSC (2022)
Yujun Lai, Gavin Paul, Yunduan Cui, Takamitsu Matsubara
User intent estimation during robot learning using physical human robot interaction primitives. Auton. Robots 46 (2) (2022)
Jincheng Wang, Kun Xu, Cuiping Shao, Lei Peng, Yunduan Cui
Data-Driven Probabilistic Model of Magneto-Rheological Damper for Intelligent Vehicles using Gaussian Processes. ITSC (2022)
Zhiwei Shang, Huiyun Li, Yunduan Cui
Shiftable Dynamic Policy Programming for Efficient and Robust Reinforcement Learning Control. ROBIO (2021)
Yunduan Cui, Shigeki Osaki, Takamitsu Matsubara
Autonomous boat driving system using sample-efficient model predictive control-based reinforcement learning approach. J. Field Robotics 38 (3) (2021)
Naitian Deng, Yunduan Cui, Shitian Zhang, Huiyun Li
Autonomous Vehicle Motion Planning using Kernelized Movement Primitives. ISNCC (2021)
Shitian Zhang, Yunduan Cui, Naitian Deng, Huiyun Li
Model Predictive Control of Autonomous Driving using Unscented Kalman Filter with Sparse Spectrum Gaussian Processes. ISNCC (2021)
Cheng-Yu Kuo, Andreas Schaarschmidt, Yunduan Cui, Tamim Asfour, Takamitsu Matsubara
Uncertainty-Aware Contact-Safe Model-Based Reinforcement Learning. IEEE Robotics Autom. Lett. 6 (2) (2021)
Lingwei Zhu, Yunduan Cui, Takamitsu Matsubara
Dynamic Actor-Advisor Programming for Scalable Safe Reinforcement Learning. ICRA (2020)
Cheng-Yu Kuo, Andreas Schaarschmidt, Yunduan Cui, Tamim Asfour, Takamitsu Matsubara
Uncertainty-aware Contact-safe Model-based Reinforcement Learning. CoRR (2020)
Yunduan Cui, Jun'ichiro Ooga, Akihito Ogawa, Takamitsu Matsubara
Probabilistic active filtering with gaussian processes for occluded object search in clutter. Appl. Intell. 50 (12) (2020)
Cheng-Yu Kuo, Yunduan Cui, Takamitsu Matsubara
Sample-and-computation-efficient Probabilistic Model Predictive Control with Random Features. ICRA (2020)
Yunduan Cui, James Poon, Jaime Valls Miró, Kimitoshi Yamazaki, Kenji Sugimoto, Takamitsu Matsubara
Environment-adaptive interaction primitives through visual context for human-robot motor skill learning. Auton. Robots 43 (5) (2019)
James Poon, Yunduan Cui, Jun'ichiro Ooga, Akihito Ogawa, Takamitsu Matsubara
Probabilistic Active Filtering for Object Search in Clutter. ICRA (2019)
James Poon, Yunduan Cui, Jaime Valls Miró, Takamitsu Matsubara
Learning from demonstration for locally assistive mobility aids. Int. J. Intell. Robotics Appl. 3 (3) (2019)
Yunduan Cui, Shigeki Osaki, Takamitsu Matsubara
Reinforcement Learning Ship Autopilot: Sample-efficient and Model Predictive Control-based Approach. CoRR (2019)
Yoshihisa Tsurumine, Yunduan Cui, Eiji Uchibe, Takamitsu Matsubara
Deep reinforcement learning with smooth policy update: Application to robotic cloth manipulation. Robotics Auton. Syst. 112 (2019)
Yunduan Cui, Shigeki Osaki, Takamitsu Matsubara
Reinforcement Learning Boat Autopilot: A Sample-efficient and Model Predictive Control based Approach. IROS (2019)
Yoshihisa Tsurumine, Yunduan Cui, Kimitoshi Yamazaki, Takamitsu Matsubara
Generative Adversarial Imitation Learning with Deep P-Network for Robotic Cloth Manipulation. Humanoids (2019)
James Poon, Yunduan Cui, Jaime Valls Miró, Takamitsu Matsubara
Learning Mobility Aid Assistance via Decoupled Observation Models. ICARCV (2018)
Takamitsu Matsubara, Yu Norinaga, Yuto Ozawa, Yunduan Cui
Policy Transfer from Simulations to Real World by Transfer Component Analysis. CASE (2018)
Yunduan Cui, Lingwei Zhu, Morihiro Fujisaki, Hiroaki Kanokogi, Takamitsu Matsubara
Factorial Kernel Dynamic Policy Programming for Vinyl Acetate Monomer Plant Model Control. CASE (2018)
Yoshihisa Tsurumine, Yunduan Cui, Eiji Uchibe, Takamitsu Matsubara
Deep dynamic policy programming for robot control with raw images. IROS (2017)
Yunduan Cui, Takamitsu Matsubara, Kenji Sugimoto
Pneumatic artificial muscle-driven robot control using local update reinforcement learning. Adv. Robotics 31 (8) (2017)
James Poon, Yunduan Cui, Jaime Valls Miró, Takamitsu Matsubara, Kenji Sugimoto
Local driving assistance from demonstration for mobility aids. ICRA (2017)
Yunduan Cui, Takamitsu Matsubara, Kenji Sugimoto
Kernel dynamic policy programming: Applicable reinforcement learning to robot systems with high dimensional states. Neural Networks 94 (2017)
Yunduan Cui, James Poon, Takamitsu Matsubara, Jaime Valls Miró, Kenji Sugimoto, Kimitoshi Yamazaki
Environment-adaptive interaction primitives for human-robot motor skill learning. Humanoids (2016)
Yunduan Cui, Takamitsu Matsubara, Kenji Sugimoto
Kernel dynamic policy programming: Practical reinforcement learning for high-dimensional robots. Humanoids (2016)
Yunduan Cui, Takamitsu Matsubara, Kenji Sugimoto
Local Update Dynamic Policy Programming in reinforcement learning of pneumatic artificial muscle-driven humanoid hand control. Humanoids (2015)
Kazuhiko Takahashi, Sae Takahashi, Yunduan Cui, Masafumi Hashimoto
Remarks on Computational Facial Expression Recognition from HOG Features Using Quaternion Multi-layer Neural Network. EANN (2014)
Yunduan Cui, Kazuhiko Takahashi, Masafumi Hashimoto
Remarks on robot controller application of Clifford multi-layer neural networks. AMC (2014)
Yunduan Cui, Kazuhiko Takahashi, Masafumi Hashimoto
Design of control systems using quaternion neural network and its application to inverse kinematics of robot manipulator. SII (2013)