Dongsheng Ding

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 24

Top Topics

Augmented Lagrangian

Markov Decision Processes

Reinforcement Learning

Policy Gradient

Top Venues

Publications

Dongsheng Ding, Zhengyan Huan, Alejandro Ribeiro
Resilient Constrained Reinforcement Learning. AISTATS (2024)
Xinmeng Huang, Shuo Li, Edgar Dobriban, Osbert Bastani, Hamed Hassani, Dongsheng Ding
One-Shot Safety Alignment for Large Language Models via Optimal Dualization. CoRR (2024)
Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Alejandro Ribeiro
Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs. CoRR (2023)
Dongsheng Ding, Zhengyan Huan, Alejandro Ribeiro
Resilient Constrained Reinforcement Learning. CoRR (2023)
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning. L4DC (2023)
Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Alejandro Ribeiro
Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs. NeurIPS (2023)
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning. CoRR (2023)
Dongsheng Ding, Mihailo R. Jovanovic
Policy gradient primal-dual mirror descent for constrained MDPs with large state spaces. CDC (2022)
Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Mihailo R. Jovanovic
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence. CoRR (2022)
Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Mihailo R. Jovanovic
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence. ICML (2022)
Dongsheng Ding, Kaiqing Zhang, Tamer Basar, Mihailo R. Jovanovic
Convergence and optimality of policy gradient primal-dual method for constrained Markov decision processes. ACC (2022)
Dongsheng Ding, Kaiqing Zhang, Jiali Duan, Tamer Basar, Mihailo R. Jovanovic
Convergence and sample complexity of natural policy gradient primal-dual methods for constrained MDPs. CoRR (2022)
Dongsheng Ding, Xiaohan Wei, Hao Yu, Mihailo R. Jovanovic
Byzantine-resilient distributed learning under constraints. ACC (2021)
Dongsheng Ding, Jianjun Yuan, Mihailo R. Jovanovic
Discounted online Newton method for time-varying time series prediction. ACC (2021)
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization. AISTATS (2021)
Dongsheng Ding, Kaiqing Zhang, Tamer Basar, Mihailo R. Jovanovic
Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes. NeurIPS (2020)
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization. CoRR (2020)
Dongsheng Ding, Mihailo R. Jovanovic
Global exponential stability of primal-dual gradient flow dynamics based on the proximal augmented Lagrangian: A Lyapunov-based approach. CDC (2020)
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization. CoRR (2019)
Dongsheng Ding, Mihailo R. Jovanovic
Global exponential stability of primal-dual gradient flow dynamics based on the proximal augmented Lagrangian. ACC (2019)
Dongsheng Ding, Mihailo R. Jovanovic
Global exponential stability of primal-dual gradient flow dynamics based on the proximal augmented Lagrangian: A Lyapunov-based approach. CoRR (2019)
Dongsheng Ding, Xiaohan Wei, Mihailo R. Jovanovic
Distributed robust statistical learning: Byzantine mirror descent. CDC (2019)
Dongsheng Ding, Mihailo R. Jovanovic
A primal-dual laplacian gradient flow dynamics for distributed resource allocation problems. ACC (2018)
Dongsheng Ding, Bin Hu, Neil K. Dhingra, Mihailo R. Jovanovic
An Exponentially Convergent Primal-Dual Algorithm for Nonsmooth Composite Minimization. CDC (2018)
Dongsheng Ding, Donglian Qi, Yao Meng, Li Xu
Adaptive Mittag-Leffler stabilization of commensurate fractional-order nonlinear systems. CDC (2014)
Dongsheng Ding, Donglian Qi, Xiaoping Luo, Jinfei Chen, Xuejie Wang, Pengying Du
Convergence analysis and performance of an extended central force optimization algorithm. Appl. Math. Comput. 219 (4) (2012)