Jingliang Duan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 63

Top Topics

Dynamic Programming

Policy Iteration

Reinforcement Learning

Policy Gradient

Top Venues

IEEE Trans. Intell. Veh.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Yinuo Wang, Likun Wang, Yuxuan Jiang, Wenjun Zou, Tong Liu, Xujie Song, Wenxuan Wang, Liming Xiao, Jiang Wu, Jingliang Duan, Shengbo Eben Li
Diffusion Actor-Critic with Entropy Regulator. CoRR (2024)
Yue Qu, Hongqing Chu, Shuhua Gao, Jun Guan, Haoqi Yan, Liming Xiao, Shengbo Eben Li, Jingliang Duan
RL-Driven MPPI: Accelerating Online Control Laws Calculation With Offline Policy. IEEE Trans. Intell. Veh. 9 (2) (2024)
Jingliang Duan, Yangang Ren, Fawang Zhang, Jie Li, Shengbo Eben Li, Yang Guan, Keqiang Li
Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-Lane Scenarios [Research Frontier] [Research Frontier]. IEEE Comput. Intell. Mag. 19 (2) (2024)
Baiyu Peng, Jingliang Duan, Jianyu Chen, Shengbo Eben Li, Genjin Xie, Congsheng Zhang, Yang Guan, Yao Mu, Enxin Sun
Model-Based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (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)
Dongjie Yu, Wenjun Zou, Yujie Yang, Haitong Ma, Shengbo Eben Li, Yuming Yin, Jianyu Chen, Jingliang Duan
Safe Model-Based Reinforcement Learning With an Uncertainty-Aware Reachability Certificate. IEEE Trans Autom. Sci. Eng. 21 (3) (2024)
Jingliang Duan, Jie Li, Xuyang Chen, Kai Zhao, Shengbo Eben Li, Lin Zhao
Optimization Landscape of Policy Gradient Methods for Discrete-Time Static Output Feedback. IEEE Trans. Cybern. 54 (6) (2024)
Jie Li, Shengbo Eben Li, Jingliang Duan, Yao Lyu, Wenjun Zou, Yang Guan, Yuming Yin
Relaxed Policy Iteration Algorithm for Nonlinear Zero-Sum Games With Application to H-Infinity Control. IEEE Trans. Autom. Control. 69 (1) (2024)
Wenjun Zou, Yao Lyu, Jie Li, Yujie Yang, Shengbo Eben Li, Jingliang Duan, Xianyuan Zhan, Jingjing Liu, Yaqin Zhang, Keqiang Li
Policy Bifurcation in Safe Reinforcement Learning. CoRR (2024)
Guojian Zhan, Yuxuan Jiang, Jingliang Duan, Shengbo Eben Li, Bo Cheng, Keqiang Li
Continuous-Time Policy Optimization. ACC (2023)
Jingliang Duan, Wenxuan Wang, Liming Xiao, Jiaxin Gao, Shengbo Eben Li
DSAC-T: Distributional Soft Actor-Critic with Three Refinements. CoRR (2023)
Jingliang Duan, Jie Li, Xuyang Chen, Kai Zhao, Shengbo Eben Li, Lin Zhao
Optimization Landscape of Policy Gradient Methods for Discrete-time Static Output Feedback. CoRR (2023)
Ziyu Lin, Jun Ma, Jingliang Duan, Shengbo Eben Li, Haitong Ma, Bo Cheng, Tong Heng Lee
Policy Iteration Based Approximate Dynamic Programming Toward Autonomous Driving in Constrained Dynamic Environment. IEEE Trans. Intell. Transp. Syst. 24 (5) (2023)
Ziyu Lin, Jingliang Duan, Shengbo Eben Li, Haitong Ma, Jie Li, Jianyu Chen, Bo Cheng, Jun Ma
Policy-Iteration-Based Finite-Horizon Approximate Dynamic Programming for Continuous-Time Nonlinear Optimal Control. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Jingliang Duan, Jie Li, Qiang Ge, Shengbo Eben Li, Monimoy Bujarbaruah, Fei Ma, Dezhao Zhang
Relaxed Actor-Critic With Convergence Guarantees for Continuous-Time Optimal Control of Nonlinear Systems. IEEE Trans. Intell. Veh. 8 (5) (2023)
Yang Guan, Yangang Ren, Qi Sun, Shengbo Eben Li, Haitong Ma, Jingliang Duan, Yifan Dai, Bo Cheng
Integrated Decision and Control: Toward Interpretable and Computationally Efficient Driving Intelligence. IEEE Trans. Cybern. 53 (2) (2023)
Haoqi Yan, Haoyuan Xu, Hongbo Gao, Fei Ma, Shengbo Eben Li, Jingliang Duan
Integrated Drill Boom Hole-Seeking Control via Reinforcement Learning. CoRR (2023)
Xujie Song, Tong Liu, Shengbo Eben Li, Jingliang Duan, Wenxuan Wang, Keqiang Li
Training Multi-layer Neural Networks on Ising Machine. CoRR (2023)
Xuyang Chen, Jingliang Duan, Yingbin Liang, Lin Zhao
Global Convergence of Two-Timescale Actor-Critic for Solving Linear Quadratic Regulator. AAAI (2023)
Xujie Song, Jingliang Duan, Wenxuan Wang, Shengbo Eben Li, Chen Chen, Bo Cheng, Bo Zhang, Junqing Wei, Xiaoming Simon Wang
LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control. ICML (2023)
Jingliang Duan, Dongjie Yu, Shengbo Eben Li, Wenxuan Wang, Yangang Ren, Ziyu Lin, Bo Cheng
Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Zhengyu Liu, Jingliang Duan, Wenxuan Wang, Shengbo Eben Li, Yuming Yin, Ziyu Lin, Bo Cheng
Recurrent Model Predictive Control: Learning an Explicit Recurrent Controller for Nonlinear Systems. IEEE Trans. Ind. Electron. 69 (10) (2022)
Yangang Ren, Jianhua Jiang, Guojian Zhan, Shengbo Eben Li, Chen Chen, Keqiang Li, Jingliang Duan
Self-Learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
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)
Yangang Ren, Yao Lyu, Wenxuan Wang, Shengbo Eben Li, Zeyang Li, Jingliang Duan
Smoothing Policy Iteration for Zero-sum Markov Games. CoRR (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)
Yangang Ren, Guojian Zhan, Liye Tang, Shengbo Eben Li, Jianhua Jiang, Jingliang Duan
Improve Generalization of Driving Policy at Signalized Intersections with Adversarial Learning. CoRR (2022)
Jingliang Duan, Zhengyu Liu, Shengbo Eben Li, Qi Sun, Zhenzhong Jia, Bo Cheng
Adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints. Neurocomputing 484 (2022)
Jingliang Duan, Jie Li, Shengbo Eben Li, Lin Zhao
Optimization Landscape of Gradient Descent for Discrete-time Static Output Feedback. ACC (2022)
Dongjie Yu, Wenjun Zou, Yujie Yang, Haitong Ma, Shengbo Eben Li, Jingliang Duan, Jianyu Chen
Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate. CoRR (2022)
Xuyang Chen, Jingliang Duan, Yingbin Liang, Lin Zhao
Global Convergence of Two-timescale Actor-Critic for Solving Linear Quadratic Regulator. CoRR (2022)
Jingliang Duan, Yang Guan, Shengbo Eben Li, Yangang Ren, Qi Sun, Bo Cheng
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors. IEEE Trans. Neural Networks Learn. Syst. 33 (11) (2022)
Yang Guan, Shengbo Eben Li, Jingliang Duan, Jie Li, Yangang Ren, Qi Sun, Bo Cheng
Direct and indirect reinforcement learning. Int. J. Intell. Syst. 36 (8) (2021)
Jingliang Duan, Yangang Ren, Fawang Zhang, Yang Guan, Dongjie Yu, Shengbo Eben Li, Bo Cheng, Lin Zhao
Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-lane Scenarios. CoRR (2021)
Jingliang Duan, Dongjie Yu, Shengbo Eben Li, Wenxuan Wang, Yangang Ren, Ziyu Lin, Bo Cheng
Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving. CoRR (2021)
Zhengyu Liu, Jingliang Duan, Wenxuan Wang, Shengbo Eben Li, Yuming Yin, Ziyu Lin, Qi Sun, Bo Cheng
Recurrent Model Predictive Control. CoRR (2021)
Baiyu Peng, Yao Mu, Jingliang Duan, Yang Guan, Shengbo Eben Li, Jianyu Chen
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning. CoRR (2021)
Jingliang Duan, Jie Li, Lin Zhao
Optimization Landscape of Gradient Descent for Discrete-time Static Output Feedback. CoRR (2021)
Yiting Kong, Yang Guan, Jingliang Duan, Shengbo Eben Li, Qi Sun, Bingbing Nie
Decision-Making under On-Ramp merge Scenarios by Distributional Soft Actor-Critic Algorithm. CoRR (2021)
Zhengyu Liu, Jingliang Duan, Wenxuan Wang, Shengbo Eben Li, Yuming Yin, Ziyu Lin, Qi Sun, Bo Cheng
Recurrent Model Predictive Control. CoRR (2021)
Yang Guan, Jingliang Duan, Shengbo Eben Li, Jie Li, Jianyu Chen, Bo Cheng
Mixed Policy Gradient. CoRR (2021)
Baiyu Peng, Yao Mu, Jingliang Duan, Yang Guan, Shengbo Eben Li, Jianyu Chen
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning. IV (2021)
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)
Yang Guan, Yangang Ren, Shengbo Eben Li, Haitong Ma, Jingliang Duan, Bo Cheng
Integrated Decision and Control: Towards Interpretable and Efficient Driving Intelligence. CoRR (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)
Yangang Ren, Jianhua Jiang, Jingliang Duan, Shengbo Eben Li, Dongjie Yu, Guojian Zhan
Encoding Integrated Decision and Control for Autonomous Driving with Mixed Traffic Flow. CoRR (2021)
Yang Guan, Shengbo Eben Li, Jingliang Duan, Jie Li, Yangang Ren, Qi Sun, Bo Cheng
Cover: International Journal of Intelligent Systems, Volume 36 Issue 8 August 2021. Int. J. Intell. Syst. 36 (8) (2021)
Baiyu Peng, Jingliang Duan, Jianyu Chen, Shengbo Eben Li, Genjin Xie, Congsheng Zhang, Yang Guan, Yao Mu, Enxin Sun
Model-based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian. CoRR (2021)
Yangang Ren, Jingliang Duan, Shengbo Eben Li, Yang Guan, Qi Sun
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic. ITSC (2020)
Yangang Ren, Jingliang Duan, Yang Guan, Shengbo Eben Li
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic. CoRR (2020)
Ziyu Lin, Jingliang Duan, Shengbo Eben Li, Haitong Ma, Yuming Yin
Continuous-time finite-horizon ADP for automated vehicle controller design with high efficiency. CoRR (2020)
Lu Wen, Jingliang Duan, Shengbo Eben Li, Shaobing Xu, Huei Peng
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization. CoRR (2020)
Jingliang Duan, Shengbo Eben Li, Yang Guan, Qi Sun, Bo Cheng
Hierarchical Reinforcement Learning for Self-Driving Decision-Making without Reliance on Labeled Driving Data. CoRR (2020)
Lu Wen, Jingliang Duan, Shengbo Eben Li, Shaobing Xu, Huei Peng
. ITSC (2020)
Jingliang Duan, Yang Guan, Yangang Ren, Shengbo Eben Li, Bo Cheng
Addressing Value Estimation Errors in Reinforcement Learning with a State-Action Return Distribution Function. CoRR (2020)
Jie Li, Shengbo Eben Li, Yang Guan, Jingliang Duan, Wenyu Li, Yuming Yin
Ternary Policy Iteration Algorithm for Nonlinear Robust Control. CoRR (2020)
Jingliang Duan, Shengbo Eben Li, Zhengyu Liu, Monimoy Bujarbaruah, Bo Cheng
Generalized Policy Iteration for Optimal Control in Continuous Time. CoRR (2019)
Jingliang Duan, Zhengyu Liu, Shengbo Eben Li, Qi Sun, Zhenzhong Jia, Bo Cheng
Deep adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints. CoRR (2019)
Yang Guan, Shengbo Eben Li, Jingliang Duan, Jie Li, Yangang Ren, Bo Cheng
Direct and indirect reinforcement learning. CoRR (2019)
Shengbo Eben Li, Qiangqiang Guo, Shaobing Xu, Jingliang Duan, Shen Li, Chengjun Li, Kuifeng Su
Performance Enhanced Predictive Control for Adaptive Cruise Control System Considering Road Elevation Information. IEEE Trans. Intell. Veh. 2 (3) (2017)