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Jingliang Duan
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2020 – today
- 2024
- [j20]Jingliang Duan
, Yangang Ren
Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-Lane Scenarios [Research Frontier] [Research Frontier]. IEEE Comput. Intell. Mag. 19(2): 96-112 (2024) - [j19]Jie Li
Relaxed Policy Iteration Algorithm for Nonlinear Zero-Sum Games With Application to H-Infinity Control. IEEE Trans. Autom. Control. 69(1): 426-433 (2024) - [j18]Jingliang Duan
On the Optimization Landscape of Dynamic Output Feedback Linear Quadratic Control. IEEE Trans. Autom. Control. 69(2): 920-935 (2024) - [j17]Dongjie Yu
Safe Model-Based Reinforcement Learning With an Uncertainty-Aware Reachability Certificate. IEEE Trans Autom. Sci. Eng. 21(3): 4129-4142 (2024) - [j16]Jingliang Duan
Optimization Landscape of Policy Gradient Methods for Discrete-Time Static Output Feedback. IEEE Trans. Cybern. 54(6): 3588-3601 (2024) - [j15]Zeyu Gao
Enhance Sample Efficiency and Robustness of End-to-End Urban Autonomous Driving via Semantic Masked World Model. IEEE Trans. Intell. Transp. Syst. 25(10): 13067-13079 (2024) - [j14]Yue Qu
RL-Driven MPPI: Accelerating Online Control Laws Calculation With Offline Policy. IEEE Trans. Intell. Veh. 9(2): 3605-3616 (2024) - [j13]Baiyu Peng
Model-Based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian. IEEE Trans. Neural Networks Learn. Syst. 35(1): 466-478 (2024) - [c12]Shentao Qin, Yujie Yang, Yao Mu, Jie Li, Wenjun Zou, Jingliang Duan, Shengbo Eben Li:
Feasible Reachable Policy Iteration. ICML 2024 - [c11]Xuyang Chen, Jingliang Duan, Lin Zhao:
Global Optimality of Single-Timescale Actor-Critic under Continuous State-Action Space: A Study on Linear Quadratic Regulator. IJCAI 2024: 3816-3824 - [i34]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 abs/2403.12847 (2024) - [i33]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 abs/2405.15177 (2024) - 2023
- [j12]Yang Guan
Integrated Decision and Control: Toward Interpretable and Computationally Efficient Driving Intelligence. IEEE Trans. Cybern. 53(2): 859-873 (2023) - [j11]Ziyu Lin
Policy Iteration Based Approximate Dynamic Programming Toward Autonomous Driving in Constrained Dynamic Environment. IEEE Trans. Intell. Transp. Syst. 24(5): 5003-5013 (2023) - [j10]Jingliang Duan
Relaxed Actor-Critic With Convergence Guarantees for Continuous-Time Optimal Control of Nonlinear Systems. IEEE Trans. Intell. Veh. 8(5): 3299-3311 (2023) - [j9]Ziyu Lin
Policy-Iteration-Based Finite-Horizon Approximate Dynamic Programming for Continuous-Time Nonlinear Optimal Control. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5255-5267 (2023) - [c10]Xuyang Chen, Jingliang Duan, Yingbin Liang, Lin Zhao:
Global Convergence of Two-Timescale Actor-Critic for Solving Linear Quadratic Regulator. AAAI 2023: 7087-7095 - [c9]Guojian Zhan, Yuxuan Jiang, Jingliang Duan
Continuous-Time Policy Optimization. ACC 2023: 3382-3388 - [c8]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: 32253-32272 - [i32]Jingliang Duan
DSAC-T: Distributional Soft Actor-Critic with Three Refinements. CoRR abs/2310.05858 (2023) - [i31]Jingliang Duan
Optimization Landscape of Policy Gradient Methods for Discrete-time Static Output Feedback. CoRR abs/2310.19022 (2023) - [i30]Xujie Song, Tong Liu, Shengbo Eben Li, Jingliang Duan
Training Multi-layer Neural Networks on Ising Machine. CoRR abs/2311.03408 (2023) - [i29]Haoqi Yan, Haoyuan Xu, Hongbo Gao, Fei Ma, Shengbo Eben Li, Jingliang Duan:
Integrated Drill Boom Hole-Seeking Control via Reinforcement Learning. CoRR abs/2312.01836 (2023) - 2022
- [j8]Jingliang Duan
Adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints. Neurocomputing 484: 128-141 (2022) - [j7]Zhengyu Liu, Jingliang Duan
Recurrent Model Predictive Control: Learning an Explicit Recurrent Controller for Nonlinear Systems. IEEE Trans. Ind. Electron. 69(10): 10437-10446 (2022) - [j6]Jingliang Duan
Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 23(7): 9518-9528 (2022) - [j5]Yangang Ren
Self-Learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections. IEEE Trans. Intell. Transp. Syst. 23(12): 24145-24156 (2022) - [j4]Jingliang Duan
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6584-6598 (2022) - [c7]Jingliang Duan
Optimization Landscape of Gradient Descent for Discrete-time Static Output Feedback. ACC 2022: 2932-2937 - [c6]Jingliang Duan
On the Optimization Landscape of Dynamic Output Feedback: A Case Study for Linear Quadratic Regulator. CDC 2022: 4040-4045 - [c5]Wenhan Cao, Jingliang Duan
Primal-Dual Estimator Learning Method with Feasibility and Near-Optimality Guarantees. CDC 2022: 4104-4111 - [i28]Jingliang Duan, Wenhan Cao, Yang Zheng, Lin Zhao:
On the Optimization Landscape of Dynamic Output Feedback Linear Quadratic Control. CoRR abs/2201.09598 (2022) - [i27]Wenhan Cao, Jingliang Duan
Primal-dual Estimator Learning: an Offline Constrained Moving Horizon Estimation Method with Feasibility and Near-optimality Guarantees. CoRR abs/2204.02857 (2022) - [i26]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 abs/2204.04403 (2022) - [i25]Xuyang Chen, Jingliang Duan
Global Convergence of Two-timescale Actor-Critic for Solving Linear Quadratic Regulator. CoRR abs/2208.08744 (2022) - [i24]Jingliang Duan, Wenhan Cao, Yang Zheng, Lin Zhao:
On the Optimization Landscape of Dynamic Output Feedback: A Case Study for Linear Quadratic Regulator. CoRR abs/2209.05042 (2022) - [i23]Dongjie Yu, Wenjun Zou, Yujie Yang
Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate. CoRR abs/2210.07553 (2022) - [i22]Yangang Ren, Yao Lyu, Wenxuan Wang, Shengbo Eben Li, Zeyang Li, Jingliang Duan
Smoothing Policy Iteration for Zero-sum Markov Games. CoRR abs/2212.01623 (2022) - 2021
- [j3]Yang Guan
Direct and indirect reinforcement learning. Int. J. Intell. Syst. 36(8): 4439-4467 (2021) - [j2]Yang Guan
Cover: International Journal of Intelligent Systems, Volume 36 Issue 8 August 2021. Int. J. Intell. Syst. 36(8): i (2021) - [c4]Ziqing Gu, Yujie Yang
Belief state separated reinforcement learning for autonomous vehicle decision making under uncertainty. ITSC 2021: 586-592 - [c3]Baiyu Peng, Yao Mu, Jingliang Duan
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning. IV 2021: 193-199 - [i21]Baiyu Peng, Yao Mu, Jingliang Duan, Yang Guan, Shengbo Eben Li, Jianyu Chen:
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning. CoRR abs/2102.08539 (2021) - [i20]Zhengyu Liu, Jingliang Duan, Wenxuan Wang, Shengbo Eben Li, Yuming Yin, Ziyu Lin, Qi Sun, Bo Cheng:
Recurrent Model Predictive Control. CoRR abs/2102.10289 (2021) - [i19]Yang Guan, Jingliang Duan, Shengbo Eben Li, Jie Li, Jianyu Chen, Bo Cheng:
Mixed Policy Gradient. CoRR abs/2102.11513 (2021) - [i18]Zhengyu Liu, Jingliang Duan, Wenxuan Wang, Shengbo Eben Li, Yuming Yin, Ziyu Lin, Qi Sun, Bo Cheng:
Recurrent Model Predictive Control. CoRR abs/2102.11736 (2021) - [i17]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 abs/2103.04535 (2021) - [i16]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 abs/2103.05505 (2021) - [i15]Yang Guan, Yangang Ren, Shengbo Eben Li, Haitong Ma, Jingliang Duan, Bo Cheng:
Integrated Decision and Control: Towards Interpretable and Efficient Driving Intelligence. CoRR abs/2103.10290 (2021) - [i14]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 abs/2105.11299 (2021) - [i13]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 abs/2108.11623 (2021) - [i12]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 abs/2109.05540 (2021) - [i11]Jingliang Duan, Jie Li, Lin Zhao:
Optimization Landscape of Gradient Descent for Discrete-time Static Output Feedback. CoRR abs/2109.13132 (2021) - [i10]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 abs/2110.12359 (2021) - 2020
- [c2]Yangang Ren, Jingliang Duan
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic. ITSC 2020: 1-6 - [c1]Lu Wen, Jingliang Duan
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization*. ITSC 2020: 1-7 - [i9]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 abs/2001.02811 (2020) - [i8]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 abs/2001.09816 (2020) - [i7]Yangang Ren, Jingliang Duan, Yang Guan, Shengbo Eben Li:
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic. CoRR abs/2002.05502 (2020) - [i6]Lu Wen, Jingliang Duan, Shengbo Eben Li, Shaobing Xu, Huei Peng:
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization. CoRR abs/2003.01303 (2020) - [i5]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 abs/2007.02070 (2020) - [i4]Jie Li, Shengbo Eben Li, Yang Guan, Jingliang Duan, Wenyu Li, Yuming Yin:
Ternary Policy Iteration Algorithm for Nonlinear Robust Control. CoRR abs/2007.06810 (2020)
2010 – 2019
- 2019
- [i3]Jingliang Duan, Shengbo Eben Li, Zhengyu Liu, Monimoy Bujarbaruah, Bo Cheng:
Generalized Policy Iteration for Optimal Control in Continuous Time. CoRR abs/1909.05402 (2019) - [i2]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 abs/1911.11397 (2019) - [i1]Yang Guan, Shengbo Eben Li, Jingliang Duan, Jie Li, Yangang Ren, Bo Cheng:
Direct and indirect reinforcement learning. CoRR abs/1912.10600 (2019) - 2017
- [j1]Shengbo Eben Li
Performance Enhanced Predictive Control for Adaptive Cruise Control System Considering Road Elevation Information. IEEE Trans. Intell. Veh. 2(3): 150-160 (2017)
Coauthor Index
[j20] [j19] [j17] [j16] [j15] [j14] [j13] [c12] [i34] [i33] [j12] [j11] [j10] [j9] [c9] [c8] [i32] [i31] [i30] [i29] [j8] [j7] [j6] [j5] [j4] [c7] [c5] [i27] [i26] [i23] [i22] [j3] [j2] [c4] [c3] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i10] [c2] [c1] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1] [j1]
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last updated on 2024-10-23 20:32 CEST by the dblp team
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