Jingliang Duan
Orcid: 0000-0002-3697-1576
According to our database1,
Jingliang Duan
authored at least 52 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-Lane Scenarios [Research Frontier] [Research Frontier].
IEEE Comput. Intell. Mag., May, 2024
IEEE Trans. Autom. Control., February, 2024
Model-Based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
Relaxed Policy Iteration Algorithm for Nonlinear Zero-Sum Games With Application to H-Infinity Control.
IEEE Trans. Autom. Control., January, 2024
2023
Policy-Iteration-Based Finite-Horizon Approximate Dynamic Programming for Continuous-Time Nonlinear Optimal Control.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Relaxed Actor-Critic With Convergence Guarantees for Continuous-Time Optimal Control of Nonlinear Systems.
IEEE Trans. Intell. Veh., May, 2023
Policy Iteration Based Approximate Dynamic Programming Toward Autonomous Driving in Constrained Dynamic Environment.
IEEE Trans. Intell. Transp. Syst., May, 2023
Integrated Decision and Control: Toward Interpretable and Computationally Efficient Driving Intelligence.
IEEE Trans. Cybern., 2023
Optimization Landscape of Policy Gradient Methods for Discrete-time Static Output Feedback.
CoRR, 2023
LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the American Control Conference, 2023
Global Convergence of Two-Timescale Actor-Critic for Solving Linear Quadratic Regulator.
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.
IEEE Trans. Neural Networks Learn. Syst., 2022
Self-Learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections.
IEEE Trans. Intell. Transp. Syst., 2022
Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2022
Recurrent Model Predictive Control: Learning an Explicit Recurrent Controller for Nonlinear Systems.
IEEE Trans. Ind. Electron., 2022
Adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints.
Neurocomputing, 2022
Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate.
CoRR, 2022
Improve Generalization of Driving Policy at Signalized Intersections with Adversarial Learning.
CoRR, 2022
Primal-dual Estimator Learning: an Offline Constrained Moving Horizon Estimation Method with Feasibility and Near-optimality Guarantees.
CoRR, 2022
On the Optimization Landscape of Dynamic Output Feedback: A Case Study for Linear Quadratic Regulator.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Primal-Dual Estimator Learning Method with Feasibility and Near-Optimality Guarantees.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the American Control Conference, 2022
2021
Int. J. Intell. Syst., 2021
Encoding Integrated Decision and Control for Autonomous Driving with Mixed Traffic Flow.
CoRR, 2021
CoRR, 2021
Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-lane Scenarios.
CoRR, 2021
Integrated Decision and Control: Towards Interpretable and Efficient Driving Intelligence.
CoRR, 2021
Decision-Making under On-Ramp merge Scenarios by Distributional Soft Actor-Critic Algorithm.
CoRR, 2021
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
Belief state separated reinforcement learning for autonomous vehicle decision making under uncertainty.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
2020
Continuous-time finite-horizon ADP for automated vehicle controller design with high efficiency.
CoRR, 2020
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization.
CoRR, 2020
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic.
CoRR, 2020
Hierarchical Reinforcement Learning for Self-Driving Decision-Making without Reliance on Labeled Driving Data.
CoRR, 2020
Addressing Value Estimation Errors in Reinforcement Learning with a State-Action Return Distribution Function.
CoRR, 2020
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization<sup>*</sup>.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
2019
Deep adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints.
CoRR, 2019
2017
Performance Enhanced Predictive Control for Adaptive Cruise Control System Considering Road Elevation Information.
IEEE Trans. Intell. Veh., 2017