Dongsheng Ding

According to our database, Dongsheng Ding authored at least 19 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Resilient Constrained Reinforcement Learning.

Dongsheng Ding, Zhengyan Huan, Alejandro Ribeiro

CoRR, 2023

Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs.

Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Alejandro Ribeiro

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning.

Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic

Proceedings of the Learning for Dynamics and Control Conference, 2023

2022

Convergence and sample complexity of natural policy gradient primal-dual methods for constrained MDPs.

Dongsheng Ding, Kaiqing Zhang, Jiali Duan, Tamer Basar, Mihailo R. Jovanovic

CoRR, 2022

Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence.

Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Mihailo R. Jovanovic

Proceedings of the International Conference on Machine Learning, 2022

Policy gradient primal-dual mirror descent for constrained MDPs with large state spaces.

Dongsheng Ding, Mihailo R. Jovanovic

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Convergence and optimality of policy gradient primal-dual method for constrained Markov decision processes.

Dongsheng Ding, Kaiqing Zhang, Tamer Basar, Mihailo R. Jovanovic

Proceedings of the American Control Conference, 2022

2021

Discounted online Newton method for time-varying time series prediction.

Dongsheng Ding, Jianjun Yuan, Mihailo R. Jovanovic

Proceedings of the 2021 American Control Conference, 2021

Byzantine-resilient distributed learning under constraints.

Dongsheng Ding, Xiaohan Wei, Hao Yu, Mihailo R. Jovanovic

Proceedings of the 2021 American Control Conference, 2021

Provably Efficient Safe Exploration via Primal-Dual Policy Optimization.

Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes.

Dongsheng Ding, Kaiqing Zhang, Tamer Basar, Mihailo R. Jovanovic

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Global exponential stability of primal-dual gradient flow dynamics based on the proximal augmented Lagrangian: A Lyapunov-based approach.

Dongsheng Ding, Mihailo R. Jovanovic

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

2019

Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization.

Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic

CoRR, 2019

Distributed robust statistical learning: Byzantine mirror descent.

Dongsheng Ding, Xiaohan Wei, Mihailo R. Jovanovic

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Global exponential stability of primal-dual gradient flow dynamics based on the proximal augmented Lagrangian.

Dongsheng Ding, Mihailo R. Jovanovic

Proceedings of the 2019 American Control Conference, 2019

2018

An Exponentially Convergent Primal-Dual Algorithm for Nonsmooth Composite Minimization.

Dongsheng Ding, Bin Hu, Neil K. Dhingra, Mihailo R. Jovanovic

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

A primal-dual laplacian gradient flow dynamics for distributed resource allocation problems.

Dongsheng Ding, Mihailo R. Jovanovic

Proceedings of the 2018 Annual American Control Conference, 2018

2014

Adaptive Mittag-Leffler stabilization of commensurate fractional-order nonlinear systems.

Dongsheng Ding, Donglian Qi, Yao Meng, Li Xu

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2012

Convergence analysis and performance of an extended central force optimization algorithm.

Dongsheng Ding, Donglian Qi, Xiaoping Luo, Jinfei Chen, Xuejie Wang, Pengying Du

Appl. Math. Comput., 2012