Performance Enhanced Predictive Control for Adaptive Cruise Control System Considering Road Elevation Information. - Shengbo Eben Li; Qiangqiang Guo; Shaobing Xu; Jingliang Duan; Shen Li 001; Chengjun Li; Kuifeng Su (IEEE Trans. Intell. Veh., 2017)

Generalized Policy Iteration for Optimal Control in Continuous Time. - Jingliang Duan; Shengbo Eben Li; Zhengyu Liu; Monimoy Bujarbaruah; Bo Cheng 003 (CoRR, 2019)

Deep adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints. - Jingliang Duan; Zhengyu Liu; Shengbo Eben Li; Qi Sun 004; Zhenzhong Jia; Bo Cheng 003 (CoRR, 2019)

Direct and indirect reinforcement learning. - Yang Guan; Shengbo Eben Li; Jingliang Duan; Jie Li 042; Yangang Ren; Bo Cheng 003 (CoRR, 2019)

Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic. - Yangang Ren; Jingliang Duan; Shengbo Eben Li; Yang Guan; Qi Sun 004 (ITSC, 2020)

Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization*. - Lu Wen; Jingliang Duan; Shengbo Eben Li; Shaobing Xu; Huei Peng (ITSC, 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 003 (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 004; Bo Cheng 003 (CoRR, 2020)

Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic. - Yangang Ren; Jingliang Duan; Yang Guan; Shengbo Eben Li (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)

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)

Ternary Policy Iteration Algorithm for Nonlinear Robust Control. - Jie Li 042; Shengbo Eben Li; Yang Guan; Jingliang Duan; Wenyu Li; Yuming Yin (CoRR, 2020)

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 (ITSC, 2021)

Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning. - Baiyu Peng; Yao Mu 001; Jingliang Duan; Yang Guan; Shengbo Eben Li; Jianyu Chen (IV, 2021)

Recurrent Model Predictive Control. - Zhengyu Liu; Jingliang Duan; Wenxuan Wang 004; Shengbo Eben Li; Yuming Yin; Ziyu Lin; Qi Sun 004; Bo Cheng 003 (CoRR, 2021)

Mixed Policy Gradient. - Yang Guan; Jingliang Duan; Shengbo Eben Li; Jie Li 042; Jianyu Chen; Bo Cheng 003 (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 004; Bingbing Nie (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 042 (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 003 (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 003; Lin Zhao 009 (CoRR, 2021)

Optimization Landscape of Gradient Descent for Discrete-time Static Output Feedback. - Jingliang Duan; Jie Li 042; Lin Zhao 009 (CoRR, 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)

Cover: International Journal of Intelligent Systems, Volume 36 Issue 8 August 2021. - Yang Guan; Shengbo Eben Li; Jingliang Duan; Jie Li 042; Yangang Ren; Qi Sun 004; Bo Cheng 003 (Int. J. Intell. Syst., 2021)

Direct and indirect reinforcement learning. - Yang Guan; Shengbo Eben Li; Jingliang Duan; Jie Li 042; Yangang Ren; Qi Sun 004; Bo Cheng 003 (Int. J. Intell. Syst., 2021)

Optimization Landscape of Gradient Descent for Discrete-time Static Output Feedback. - Jingliang Duan; Jie Li 042; Shengbo Eben Li; Lin Zhao 009 (ACC, 2022)

Primal-Dual Estimator Learning Method with Feasibility and Near-Optimality Guarantees. - Wenhan Cao; Jingliang Duan; Shengbo Eben Li; Chen Chen 068; Chang Liu 002; Yu Wang 002 (CDC, 2022)

On the Optimization Landscape of Dynamic Output Feedback: A Case Study for Linear Quadratic Regulator. - Jingliang Duan; Wenhan Cao; Yang Zheng 001; Lin Zhao 009 (CDC, 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 068; Chang Liu 002; Yu Wang 002 (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)

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)

Smoothing Policy Iteration for Zero-sum Markov Games. - Yangang Ren; Yao Lyu; Wenxuan Wang 004; Shengbo Eben Li; Zeyang Li 001; Jingliang Duan (CoRR, 2022)

Adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints. - Jingliang Duan; Zhengyu Liu; Shengbo Eben Li; Qi Sun 004; Zhenzhong Jia; Bo Cheng 003 (Neurocomputing, 2022)

Recurrent Model Predictive Control: Learning an Explicit Recurrent Controller for Nonlinear Systems. - Zhengyu Liu; Jingliang Duan; Wenxuan Wang 004; Shengbo Eben Li; Yuming Yin; Ziyu Lin; Bo Cheng 003 (IEEE Trans. Ind. Electron., 2022)

Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving. - Jingliang Duan; Dongjie Yu; Shengbo Eben Li; Wenxuan Wang 004; Yangang Ren; Ziyu Lin; Bo Cheng 003 (IEEE Trans. Intell. Transp. 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 068; Keqiang Li; Jingliang Duan (IEEE Trans. Intell. Transp. Syst., 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 004; Bo Cheng 003 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Global Convergence of Two-Timescale Actor-Critic for Solving Linear Quadratic Regulator. - Xuyang Chen; Jingliang Duan; Yingbin Liang; Lin Zhao 009 (AAAI, 2023)

Continuous-Time Policy Optimization. - Guojian Zhan; Yuxuan Jiang 011; Jingliang Duan; Shengbo Eben Li; Bo Cheng 003; Keqiang Li (ACC, 2023)

LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control. - Xujie Song; Jingliang Duan; Wenxuan Wang 004; Shengbo Eben Li; Chen Chen 068; Bo Cheng 003; Bo Zhang; Junqing Wei; Xiaoming Simon Wang (ICML, 2023)

DSAC-T: Distributional Soft Actor-Critic with Three Refinements. - Jingliang Duan; Wenxuan Wang 004; Liming Xiao; Jiaxin Gao; Shengbo Eben Li (CoRR, 2023)

Training Multi-layer Neural Networks on Ising Machine. - Xujie Song; Tong Liu; Shengbo Eben Li; Jingliang Duan; Wenxuan Wang 004; Keqiang Li (CoRR, 2023)

Integrated Drill Boom Hole-Seeking Control via Reinforcement Learning. - Haoqi Yan; Haoyuan Xu; Hongbo Gao 001; Fei Ma; Shengbo Eben Li; Jingliang Duan (CoRR, 2023)

Integrated Decision and Control: Toward Interpretable and Computationally Efficient Driving Intelligence. - Yang Guan; Yangang Ren; Qi Sun 004; Shengbo Eben Li; Haitong Ma; Jingliang Duan; Yifan Dai; Bo Cheng 003 (IEEE Trans. Cybern., 2023)

Policy Iteration Based Approximate Dynamic Programming Toward Autonomous Driving in Constrained Dynamic Environment. - Ziyu Lin; Jun Ma 008; Jingliang Duan; Shengbo Eben Li; Haitong Ma; Bo Cheng 003; Tong Heng Lee (IEEE Trans. Intell. Transp. Syst., 2023)

Relaxed Actor-Critic With Convergence Guarantees for Continuous-Time Optimal Control of Nonlinear Systems. - Jingliang Duan; Jie Li 042; Qiang Ge; Shengbo Eben Li; Monimoy Bujarbaruah; Fei Ma; Dezhao Zhang (IEEE Trans. Intell. Veh., 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 042; Jianyu Chen; Bo Cheng 003; Jun Ma 008 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Feasible Reachable Policy Iteration. - Shentao Qin; Yujie Yang; Yao Mu 001; Jie Li 042; Wenjun Zou; Jingliang Duan; Shengbo Eben Li (ICML, 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 009 (IJCAI, 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 (IROS, 2024)

Diffusion Actor-Critic with Entropy Regulator. - Yinuo Wang; Likun Wang; Yuxuan Jiang 011; Wenjun Zou; Tong Liu; Xujie Song; Wenxuan Wang 004; Liming Xiao; Jiang Wu; Jingliang Duan; Shengbo Li 001 (NeurIPS, 2024)

Policy Bifurcation in Safe Reinforcement Learning. - Wenjun Zou; Yao Lyu; Jie Li 042; Yujie Yang; Shengbo Eben Li; Jingliang Duan; Xianyuan Zhan; Jingjing Liu; Yaqin Zhang; Keqiang Li (CoRR, 2024)

Relaxed Policy Iteration Algorithm for Nonlinear Zero-Sum Games With Application to H-Infinity Control. - Jie Li 042; Shengbo Eben Li; Jingliang Duan; Yao Lyu; Wenjun Zou; Yang Guan; Yuming Yin (IEEE Trans. Autom. Control., 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 001; Enxin Sun (IEEE Trans. Neural Networks Learn. Syst., 2024)

On the Optimization Landscape of Dynamic Output Feedback Linear Quadratic Control. - Jingliang Duan; Wenhan Cao; Yang Zheng 001; Lin Zhao 009 (IEEE Trans. Autom. Control., 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., 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 042; Shengbo Eben Li; Yang Guan; Keqiang Li (IEEE Comput. Intell. Mag., 2024)

Optimization Landscape of Policy Gradient Methods for Discrete-Time Static Output Feedback. - Jingliang Duan; Jie Li 042; Xuyang Chen; Kai Zhao 004; Shengbo Eben Li; Lin Zhao 009 (IEEE Trans. Cybern., 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., 2024)

Enhance Sample Efficiency and Robustness of End-to-End Urban Autonomous Driving via Semantic Masked World Model. - Zeyu Gao; Yao Mu 001; Chen Chen 068; Jingliang Duan; Ping Luo 002; Yanfeng Lu; Shengbo Eben Li (IEEE Trans. Intell. Transp. Syst., 2024)

Inverse Model Predictive Control: Learning Optimal Control Cost Functions for MPC. - Fawang Zhang; Jingliang Duan; Haoyuan Xu; Hao Chen 108; Hui Liu 001; Shida Nie; Shengbo Eben Li (IEEE Trans. Ind. Informatics, 2024)

ODE-based Smoothing Neural Network for Reinforcement Learning Tasks. - Yinuo Wang; Wenxuan Wang 004; Xujie Song; Tong Liu; Yuming Yin; Liangfa Chen; Likun Wang; Jingliang Duan; Shengbo Eben Li (ICLR, 2025)

Smooth policy iteration for zero-sum Markov Games. - Yangang Ren; Yao Lyu; Wenxuan Wang 004; Shengbo Eben Li; Zeyang Li 001; Jingliang Duan (Neurocomputing, 2025)

Tractor Semi-Trailer Off-Tracking and Stability Approximate Bi-Level Policy Optimization. - Fawang Zhang; Jingliang Duan; Hui Liu 001; Xingyu Cao; Shida Nie; Congshuai Guo; Yujia Xie; Jun Ma 008; Shangli Wang (IEEE Trans Autom. Sci. Eng., 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, 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., 2025)

Multi-Style Distributional Soft Actor-Critic: Learning a Unified Policy for Diverse Control Behaviors. - Liming Xiao; Yao Lyu; Fawang Zhang; Liangfa Chen; Guangyuan Yu; Shengbo Eben Li; Fei Ma; Jingliang Duan (IEEE Trans. Intell. Veh., 2025)

Distributional Soft Actor-Critic with Harmonic Gradient for Safe and Efficient Autonomous Driving in Multi-lane Scenarios. - Feihong Zhang; Guojian Zhan; Bin Shuai; Tianyi Zhang; Jingliang Duan; Shengbo Eben Li (CoRR, 2025)

Enhanced DACER Algorithm with High Diffusion Efficiency. - Yinuo Wang; Mining Tan; Wenjun Zou; Haotian Lin 006; Xujie Song; Wenxuan Wang 004; Tong Liu; Likun Wang; Guojian Zhan; Tianze Zhu; Shiqi Liu; Jingliang Duan; et al. (CoRR, 2025)

Distributional Soft Actor-Critic With Three Refinements. - Jingliang Duan; Wenxuan Wang 004; Liming Xiao; Jiaxin Gao; Shengbo Eben Li; Chang Liu 002; Ya-Qin Zhang; Bo Cheng 003; Keqiang Li (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Feasible Policy Iteration With Guaranteed Safe Exploration. - Yuhang Zhang 018; Yujie Yang; Shengbo Eben Li; Yao Lyu; Jingliang Duan; Zhilong Zheng; Dezhao Zhang (IEEE Trans. Cybern., 2025)

Conformal Symplectic Optimization for Stable Reinforcement Learning. - Yao Lyu; Xiangteng Zhang; Shengbo Eben Li; Jingliang Duan; Letian Tao; Qing Xu 010; Lei He; Keqiang Li (IEEE Trans. Neural Networks Learn. Syst., 2025)

Distributional Soft Actor-Critic with Diffusion Policy. - Tong Liu; Yinuo Wang; Xujie Song; Wenjun Zou; Liangfa Chen; Likun Wang; Bin Shuai; Jingliang Duan; Shengbo Eben Li (CoRR, 2025)

Physics Informed Neural Pose Estimation for Real-Time Shape Reconstruction of Soft Continuum Robots. - Guojian Zhan; Xin An; Yuxuan Jiang 011; Jingliang Duan; Huichan Zhao; Shengbo Eben Li (IEEE Robotics Autom. Lett., 2025)