Jinlong Lei
Orcid: 0000-0001-5426-0797
According to our database1,
Jinlong Lei
authored at least 43 papers
between 2015 and 2025.
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Bibliography
2025
An interaction-fair semi-decentralized trajectory planner for connected and autonomous vehicles.
Auton. Intell. Syst., December, 2025
Analysis of coupled distributed stochastic approximation for misspecified optimization.
Neurocomputing, 2025
2024
IEEE Trans. Autom. Control., October, 2024
Autom., February, 2024
Multi-Agent Deep Reinforcement Learning for Distributed and Autonomous Platoon Coordination via Speed-regulation over Large-scale Transportation Networks.
CoRR, 2024
A Local Information Aggregation based Multi-Agent Reinforcement Learning for Robot Swarm Dynamic Task Allocation.
CoRR, 2024
A Semi-decentralized and Variational-Equilibrium-Based Trajectory Planner for Connected and Autonomous Vehicles.
CoRR, 2024
Rate Analysis of Coupled Distributed Stochastic Approximation for Misspecified Optimization.
CoRR, 2024
Heterogeneous Multi-Agent Reinforcement Learning based on Adaptive Curiosity for Traffic Signal Control.
Proceedings of the American Control Conference, 2024
2023
Neurocomputing, September, 2023
Sci. China Inf. Sci., August, 2023
Dynamical Primal-Dual Nesterov Accelerated Method and Its Application to Network Optimization.
IEEE Trans. Autom. Control., March, 2023
A Linearly Convergent Distributed Nash Equilibrium Seeking Algorithm for Aggregative Games.
IEEE Trans. Autom. Control., March, 2023
Multi-Agent Deep Reinforcement Learning for Large-Scale Platoon Coordination with Partial Information at Hubs.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
IEEE Trans. Autom. Control., 2022
Distributed Variable Sample-Size Gradient-Response and Best-Response Schemes for Stochastic Nash Equilibrium Problems.
SIAM J. Optim., 2022
STV-SC: Segmentation and Temporal Verification Enhanced Scan Context for Place Recognition in Unstructured Environment.
Sensors, 2022
Asynchronous variance-reduced block schemes for composite non-convex stochastic optimization: block-specific steplengths and adapted batch-sizes.
Optim. Methods Softw., 2022
Distributed coordination for seeking the optimal Nash equilibrium of aggregative games.
CoRR, 2022
2021
Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning.
CoRR, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
IEEE Trans. Autom. Control., 2020
SIAM J. Optim., 2020
On Synchronous, Asynchronous, and Randomized Best-Response Schemes for Stochastic Nash Games.
Math. Oper. Res., 2020
Asynchronous Schemes for Stochastic and Misspecified Potential Games and Nonconvex Optimization.
Oper. Res., 2020
Linearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
A Communication-efficient Linearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization.
Proceedings of the 18th European Control Conference, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Distributed Computation of Nash Equilibria for Monotone Aggregative Games via Iterative Regularization.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2018
Asymptotic Properties of Primal-Dual Algorithm for Distributed Stochastic Optimization over Random Networks with Imperfect Communications.
SIAM J. Control. Optim., 2018
Distributed resource allocation over random networks based on stochastic approximation.
Syst. Control. Lett., 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Linearly Convergent Variable Sample-Size Schemes for Stochastic Nash Games: Best-Response Schemes and Distributed Gradient-Response Schemes.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
A randomized inexact proximal best-response scheme for potential stochastic nash games.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2016
Syst. Control. Lett., 2016
2015
IEEE Trans. Autom. Control., 2015
Distributed estimation for parameter in heterogeneous linear time-varying models with observations at network sensors.
Commun. Inf. Syst., 2015