Jingliang Duan

According to our database, Jingliang Duan authored at least 64 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Real-Time Resilient Tracking Control for Autonomous Vehicles Through Triple Iterative Approximate Dynamic Programming.

Wenyu Li, Jiale Geng, Yunqi Cheng, Liye Tang, Jingliang Duan, Feng Duan, Shengbo Eben Li

IEEE Trans. Intell. Transp. Syst., January, 2025

Predictive Lagrangian Optimization for Constrained Reinforcement Learning.

Tianqi Zhang, Puzhen Yuan, Guojian Zhan, Ziyu Lin, Yao Lyu, Zhenzhi Qin, Jingliang Duan, Liping Zhang, Shengbo Eben Li

CoRR, January, 2025

Smooth policy iteration for zero-sum Markov Games.

Yangang Ren, Yao Lyu, Wenxuan Wang, Shengbo Eben Li, Zeyang Li, Jingliang Duan

Neurocomputing, 2025

2024

Inverse Model Predictive Control: Learning Optimal Control Cost Functions for MPC.

Fawang Zhang, Jingliang Duan, Haoyuan Xu, Hao Chen, Hui Liu, Shida Nie, Shengbo Eben Li

IEEE Trans. Ind. Informatics, December, 2024

Enhance Sample Efficiency and Robustness of End-to-End Urban Autonomous Driving via Semantic Masked World Model.

Zeyu Gao, Yao Mu, Chen Chen, Jingliang Duan, Ping Luo, Yanfeng Lu, Shengbo Eben Li

IEEE Trans. Intell. Transp. Syst., October, 2024

Safe Model-Based Reinforcement Learning With an Uncertainty-Aware Reachability Certificate.

Dongjie Yu, Wenjun Zou, Yujie Yang, Haitong Ma, Shengbo Eben Li, Yuming Yin, Jianyu Chen, Jingliang Duan

IEEE Trans Autom. Sci. Eng., July, 2024

Optimization Landscape of Policy Gradient Methods for Discrete-Time Static Output Feedback.

Jingliang Duan, Jie Li, Xuyang Chen, Kai Zhao, Shengbo Eben Li, Lin Zhao

IEEE Trans. Cybern., June, 2024

Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-Lane Scenarios [Research Frontier] [Research Frontier].

Jingliang Duan, Yangang Ren, Fawang Zhang, Jie Li, Shengbo Eben Li, Yang Guan, Keqiang Li

IEEE Comput. Intell. Mag., May, 2024

RL-Driven MPPI: Accelerating Online Control Laws Calculation With Offline Policy.

Yue Qu, Hongqing Chu, Shuhua Gao, Jun Guan, Haoqi Yan, Liming Xiao, Shengbo Eben Li, Jingliang Duan

IEEE Trans. Intell. Veh., February, 2024

On the Optimization Landscape of Dynamic Output Feedback Linear Quadratic Control.

Jingliang Duan, Wenhan Cao, Yang Zheng, Lin Zhao

IEEE Trans. Autom. Control., February, 2024

Model-Based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian.

Baiyu Peng, Jingliang Duan, Jianyu Chen, Shengbo Eben Li, Genjin Xie, Congsheng Zhang, Yang Guan, Yao Mu, Enxin Sun

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Relaxed Policy Iteration Algorithm for Nonlinear Zero-Sum Games With Application to H-Infinity Control.

Jie Li, Shengbo Eben Li, Jingliang Duan, Yao Lyu, Wenjun Zou, Yang Guan, Yuming Yin

IEEE Trans. Autom. Control., January, 2024

Conformal Symplectic Optimization for Stable Reinforcement Learning.

Yao Lyu, Xiangteng Zhang, Shengbo Eben Li, Jingliang Duan, Letian Tao, Qing Xu, Lei He, Keqiang Li

CoRR, 2024

Policy Bifurcation in Safe Reinforcement Learning.

Wenjun Zou, Yao Lyu, Jie Li, Yujie Yang, Shengbo Eben Li, Jingliang Duan, Xianyuan Zhan, Jingjing Liu, Yaqin Zhang, Keqiang Li

CoRR, 2024

Diffusion Actor-Critic with Entropy Regulator.

Yinuo Wang, Likun Wang, Yuxuan Jiang, Wenjun Zou, Tong Liu, Xujie Song, Wenxuan Wang, Liming Xiao, Jiang Wu, Jingliang Duan, Shengbo Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Guiding Reinforcement Learning with Incomplete System Dynamics.

Shuyuan Wang, Jingliang Duan, Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni, Lixian Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Global Optimality of Single-Timescale Actor-Critic under Continuous State-Action Space: A Study on Linear Quadratic Regulator.

Xuyang Chen, Jingliang Duan, Lin Zhao

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Feasible Reachable Policy Iteration.

Shentao Qin, Yujie Yang, Yao Mu, Jie Li, Wenjun Zou, Jingliang Duan, Shengbo Eben Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Policy-Iteration-Based Finite-Horizon Approximate Dynamic Programming for Continuous-Time Nonlinear Optimal Control.

Ziyu Lin, Jingliang Duan, Shengbo Eben Li, Haitong Ma, Jie Li, Jianyu Chen, Bo Cheng, Jun Ma

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Relaxed Actor-Critic With Convergence Guarantees for Continuous-Time Optimal Control of Nonlinear Systems.

Jingliang Duan, Jie Li, Qiang Ge, Shengbo Eben Li, Monimoy Bujarbaruah, Fei Ma, Dezhao Zhang

IEEE Trans. Intell. Veh., May, 2023

Policy Iteration Based Approximate Dynamic Programming Toward Autonomous Driving in Constrained Dynamic Environment.

Ziyu Lin, Jun Ma, Jingliang Duan, Shengbo Eben Li, Haitong Ma, Bo Cheng, Tong Heng Lee

IEEE Trans. Intell. Transp. Syst., May, 2023

Integrated Decision and Control: Toward Interpretable and Computationally Efficient Driving Intelligence.

Yang Guan, Yangang Ren, Qi Sun, Shengbo Eben Li, Haitong Ma, Jingliang Duan, Yifan Dai, Bo Cheng

IEEE Trans. Cybern., 2023

Integrated Drill Boom Hole-Seeking Control via Reinforcement Learning.

Haoqi Yan, Haoyuan Xu, Hongbo Gao, Fei Ma, Shengbo Eben Li, Jingliang Duan

CoRR, 2023

Training Multi-layer Neural Networks on Ising Machine.

Xujie Song, Tong Liu, Shengbo Eben Li, Jingliang Duan, Wenxuan Wang, Keqiang Li

CoRR, 2023

DSAC-T: Distributional Soft Actor-Critic with Three Refinements.

Jingliang Duan, Wenxuan Wang, Liming Xiao, Jiaxin Gao, Shengbo Eben Li

CoRR, 2023

LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control.

Xujie Song, Jingliang Duan, Wenxuan Wang, Shengbo Eben Li, Chen Chen, Bo Cheng, Bo Zhang, Junqing Wei, Xiaoming Simon Wang

Proceedings of the International Conference on Machine Learning, 2023

Continuous-Time Policy Optimization.

Guojian Zhan, Yuxuan Jiang, Jingliang Duan, Shengbo Eben Li, Bo Cheng, Keqiang Li

Proceedings of the American Control Conference, 2023

Global Convergence of Two-Timescale Actor-Critic for Solving Linear Quadratic Regulator.

Xuyang Chen, Jingliang Duan, Yingbin Liang, Lin Zhao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors.

Jingliang Duan, Yang Guan, Shengbo Eben Li, Yangang Ren, Qi Sun, Bo Cheng

IEEE Trans. Neural Networks Learn. Syst., 2022

Self-Learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections.

Yangang Ren, Jianhua Jiang, Guojian Zhan, Shengbo Eben Li, Chen Chen, Keqiang Li, Jingliang Duan

IEEE Trans. Intell. Transp. Syst., 2022

Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving.

Jingliang Duan, Dongjie Yu, Shengbo Eben Li, Wenxuan Wang, Yangang Ren, Ziyu Lin, Bo Cheng

IEEE Trans. Intell. Transp. Syst., 2022

Recurrent Model Predictive Control: Learning an Explicit Recurrent Controller for Nonlinear Systems.

Zhengyu Liu, Jingliang Duan, Wenxuan Wang, Shengbo Eben Li, Yuming Yin, Ziyu Lin, Bo Cheng

IEEE Trans. Ind. Electron., 2022

Adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints.

Jingliang Duan, Zhengyu Liu, Shengbo Eben Li, Qi Sun, Zhenzhong Jia, Bo Cheng

Neurocomputing, 2022

Smoothing Policy Iteration for Zero-sum Markov Games.

Yangang Ren, Yao Lyu, Wenxuan Wang, Shengbo Eben Li, Zeyang Li, Jingliang Duan

CoRR, 2022

Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate.

Dongjie Yu, Wenjun Zou, Yujie Yang, Haitong Ma, Shengbo Eben Li, Jingliang Duan, Jianyu Chen

CoRR, 2022

Improve Generalization of Driving Policy at Signalized Intersections with Adversarial Learning.

Yangang Ren, Guojian Zhan, Liye Tang, Shengbo Eben Li, Jianhua Jiang, Jingliang Duan

CoRR, 2022

Primal-dual Estimator Learning: an Offline Constrained Moving Horizon Estimation Method with Feasibility and Near-optimality Guarantees.

Wenhan Cao, Jingliang Duan, Shengbo Eben Li, Chen Chen, Chang Liu, Yu Wang

CoRR, 2022

On the Optimization Landscape of Dynamic Output Feedback: A Case Study for Linear Quadratic Regulator.

Jingliang Duan, Wenhan Cao, Yang Zheng, Lin Zhao

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Primal-Dual Estimator Learning Method with Feasibility and Near-Optimality Guarantees.

Wenhan Cao, Jingliang Duan, Shengbo Eben Li, Chen Chen, Chang Liu, Yu Wang

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Optimization Landscape of Gradient Descent for Discrete-time Static Output Feedback.

Jingliang Duan, Jie Li, Shengbo Eben Li, Lin Zhao

Proceedings of the American Control Conference, 2022

2021

Direct and indirect reinforcement learning.

Yang Guan, Shengbo Eben Li, Jingliang Duan, Jie Li, Yangang Ren, Qi Sun, Bo Cheng

Int. J. Intell. Syst., 2021

Cover: International Journal of Intelligent Systems, Volume 36 Issue 8 August 2021.

Yang Guan, Shengbo Eben Li, Jingliang Duan, Jie Li, Yangang Ren, Qi Sun, Bo Cheng

Int. J. Intell. Syst., 2021

Encoding Integrated Decision and Control for Autonomous Driving with Mixed Traffic Flow.

Yangang Ren, Jianhua Jiang, Jingliang Duan, Shengbo Eben Li, Dongjie Yu, Guojian Zhan

CoRR, 2021

Optimization Landscape of Gradient Descent for Discrete-time Static Output Feedback.

Jingliang Duan, Jie Li, Lin Zhao

CoRR, 2021

Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-lane Scenarios.

Jingliang Duan, Yangang Ren, Fawang Zhang, Yang Guan, Dongjie Yu, Shengbo Eben Li, Bo Cheng, Lin Zhao

CoRR, 2021

Integrated Decision and Control: Towards Interpretable and Efficient Driving Intelligence.

Yang Guan, Yangang Ren, Shengbo Eben Li, Haitong Ma, Jingliang Duan, Bo Cheng

CoRR, 2021

Approximate Optimal Filter for Linear Gaussian Time-invariant Systems.

Kaiming Tang, Shengbo Eben Li, Yuming Yin, Yang Guan, Jingliang Duan, Wenhan Cao, Jie Li

CoRR, 2021

Decision-Making under On-Ramp merge Scenarios by Distributional Soft Actor-Critic Algorithm.

Yiting Kong, Yang Guan, Jingliang Duan, Shengbo Eben Li, Qi Sun, Bingbing Nie

CoRR, 2021

Mixed Policy Gradient.

Yang Guan, Jingliang Duan, Shengbo Eben Li, Jie Li, Jianyu Chen, Bo Cheng

CoRR, 2021

Recurrent Model Predictive Control.

Zhengyu Liu, Jingliang Duan, Wenxuan Wang, Shengbo Eben Li, Yuming Yin, Ziyu Lin, Qi Sun, Bo Cheng

CoRR, 2021

Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning.

Baiyu Peng, Yao Mu, Jingliang Duan, Yang Guan, Shengbo Eben Li, Jianyu Chen

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Belief state separated reinforcement learning for autonomous vehicle decision making under uncertainty.

Ziqing Gu, Yujie Yang, Jingliang Duan, Shengbo Eben Li, Jianyu Chen, Wenhan Cao, Sifa Zheng

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020

Ternary Policy Iteration Algorithm for Nonlinear Robust Control.

Jie Li, Shengbo Eben Li, Yang Guan, Jingliang Duan, Wenyu Li, Yuming Yin

CoRR, 2020

Continuous-time finite-horizon ADP for automated vehicle controller design with high efficiency.

Ziyu Lin, Jingliang Duan, Shengbo Eben Li, Haitong Ma, Yuming Yin

CoRR, 2020

Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization.

Lu Wen, Jingliang Duan, Shengbo Eben Li, Shaobing Xu, Huei Peng

CoRR, 2020

Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic.

Yangang Ren, Jingliang Duan, Yang Guan, Shengbo Eben Li

CoRR, 2020

Hierarchical Reinforcement Learning for Self-Driving Decision-Making without Reliance on Labeled Driving Data.

Jingliang Duan, Shengbo Eben Li, Yang Guan, Qi Sun, Bo Cheng

CoRR, 2020

Addressing Value Estimation Errors in Reinforcement Learning with a State-Action Return Distribution Function.

Jingliang Duan, Yang Guan, Yangang Ren, Shengbo Eben Li, Bo Cheng

CoRR, 2020

Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization^*.

Lu Wen, Jingliang Duan, Shengbo Eben Li, Shaobing Xu, Huei Peng

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic.

Yangang Ren, Jingliang Duan, Shengbo Eben Li, Yang Guan, Qi Sun

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019

Direct and indirect reinforcement learning.

Yang Guan, Shengbo Eben Li, Jingliang Duan, Jie Li, Yangang Ren, Bo Cheng

CoRR, 2019

Deep adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints.

Jingliang Duan, Zhengyu Liu, Shengbo Eben Li, Qi Sun, Zhenzhong Jia, Bo Cheng

CoRR, 2019

Generalized Policy Iteration for Optimal Control in Continuous Time.

Jingliang Duan, Shengbo Eben Li, Zhengyu Liu, Monimoy Bujarbaruah, Bo Cheng

CoRR, 2019

2017

Performance Enhanced Predictive Control for Adaptive Cruise Control System Considering Road Elevation Information.

Shengbo Eben Li, Qiangqiang Guo, Shaobing Xu, Jingliang Duan, Shen Li, Chengjun Li, Kuifeng Su

IEEE Trans. Intell. Veh., 2017