Jinlong Lei

Neurocomputing, September, 2023

Effective distributed algorithm for solving linear matrix equations.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., August, 2023

Dynamical Primal-Dual Nesterov Accelerated Method and Its Application to Network Optimization.

[BibT_eX]

[DOI]

Xianlin Zeng

Jie Chen

IEEE Trans. Autom. Control., March, 2023

A Linearly Convergent Distributed Nash Equilibrium Seeking Algorithm for Aggregative Games.

[BibT_eX]

[DOI]

Shijie Huang

IEEE Trans. Autom. Control., March, 2023

Distributed Linear Equations Over Random Networks.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2023

Online Parameter Identification of Generalized Non-cooperative Game.

[BibT_eX]

[DOI]

CoRR, 2023

Multi-Agent Deep Reinforcement Learning for Large-Scale Platoon Coordination with Partial Information at Hubs.

[BibT_eX]

[DOI]

Dixiao Wei

Peng Yi

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Distributed Variable Sample-Size Stochastic Optimization With Fixed Step-Sizes.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2022

Distributed Variable Sample-Size Gradient-Response and Best-Response Schemes for Stochastic Nash Equilibrium Problems.

[BibT_eX]

[DOI]

SIAM J. Optim., 2022

STV-SC: Segmentation and Temporal Verification Enhanced Scan Context for Place Recognition in Unstructured Environment.

[BibT_eX]

[DOI]

Sensors, 2022

Asynchronous variance-reduced block schemes for composite non-convex stochastic optimization: block-specific steplengths and adapted batch-sizes.

[BibT_eX]

[DOI]

Optim. Methods Softw., 2022

No-Regret Learning in Network Stochastic Zero-Sum Games.

[BibT_eX]

[DOI]

Shijie Huang

CoRR, 2022

Distributed coordination for seeking the optimal Nash equilibrium of aggregative games.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Xiaoxiao Zhao

Li Li

CoRR, 2021

No-regret learning for repeated concave games with lossy bandits.

[BibT_eX]

[DOI]

Wenting Liu

Peng Yi

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

No-Regret Distributed Learning in Two-Network Zero-Sum Games.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Distributed Stochastic Approximation Algorithm With Expanding Truncations.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2020

Distributed Algorithms with Finite Data Rates that Solve Linear Equations.

[BibT_eX]

[DOI]

SIAM J. Optim., 2020

On Synchronous, Asynchronous, and Randomized Best-Response Schemes for Stochastic Nash Games.

[BibT_eX]

[DOI]

Math. Oper. Res., 2020

Asynchronous Schemes for Stochastic and Misspecified Potential Games and Nonconvex Optimization.

[BibT_eX]

[DOI]

Oper. Res., 2020

Linearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization.

[BibT_eX]

[DOI]

CoRR, 2020

Online Convex Optimization Over Erdos-Renyi Random Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 18th European Control Conference, 2020

Projection Consensus for Solving Linear Equations over Random Networks.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Distributed Computation of Nash Equilibria for Monotone Aggregative Games via Iterative Regularization.

[BibT_eX]

[DOI]

Jie Chen

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.

[BibT_eX]

[DOI]

Haitao Fang

SIAM J. Control. Optim., 2018

Distributed resource allocation over random networks based on stochastic approximation.

[BibT_eX]

[DOI]

Peng Yi

Syst. Control. Lett., 2018

Network Linear Equations with Finite Data Rates.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

A randomized inexact proximal best-response scheme for potential stochastic nash games.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Primal-dual algorithm for distributed constrained optimization.

[BibT_eX]

[DOI]

Haitao Fang

Syst. Control. Lett., 2016

2015

Distributed Randomized PageRank Algorithm Based on Stochastic Approximation.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2015

Distributed estimation for parameter in heterogeneous linear time-varying models with observations at network sensors.

[BibT_eX]

[DOI]