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Dongsheng Ding
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2020 – today
- 2024
- [c16]Dongsheng Ding, Zhengyan Huan, Alejandro Ribeiro:
Resilient Constrained Reinforcement Learning. AISTATS 2024: 3412-3420 - [i11]Xinmeng Huang, Shuo Li, Edgar Dobriban, Osbert Bastani, Hamed Hassani, Dongsheng Ding:
One-Shot Safety Alignment for Large Language Models via Optimal Dualization. CoRR abs/2405.19544 (2024) - [i10]Sergio Rozada, Dongsheng Ding, Antonio G. Marques, Alejandro Ribeiro:
Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs. CoRR abs/2408.10015 (2024) - [i9]Shervin Khalafi, Dongsheng Ding, Alejandro Ribeiro:
Constrained Diffusion Models via Dual Training. CoRR abs/2408.15094 (2024) - 2023
- [c15]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: 315-332 - [c14]Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Alejandro Ribeiro:
Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs. NeurIPS 2023 - [i8]Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic:
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning. CoRR abs/2306.00212 (2023) - [i7]Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Alejandro Ribeiro:
Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs. CoRR abs/2306.11700 (2023) - [i6]Dongsheng Ding, Zhengyan Huan, Alejandro Ribeiro:
Resilient Constrained Reinforcement Learning. CoRR abs/2312.17194 (2023) - 2022
- [c13]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: 2851-2856 - [c12]Dongsheng Ding, Mihailo R. Jovanovic:
Policy gradient primal-dual mirror descent for constrained MDPs with large state spaces. CDC 2022: 4892-4897 - [c11]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: 5166-5220 - [i5]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 abs/2202.04129 (2022) - [i4]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 abs/2206.02346 (2022) - 2021
- [c10]Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic:
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization. AISTATS 2021: 3304-3312 - [c9]Dongsheng Ding, Jianjun Yuan, Mihailo R. Jovanovic:
Discounted online Newton method for time-varying time series prediction. ACC 2021: 1547-1552 - [c8]Dongsheng Ding, Xiaohan Wei, Hao Yu, Mihailo R. Jovanovic:
Byzantine-resilient distributed learning under constraints. ACC 2021: 2260-2265 - 2020
- [c7]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: 4836-4841 - [c6]Dongsheng Ding, Kaiqing Zhang, Tamer Basar, Mihailo R. Jovanovic:
Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes. NeurIPS 2020 - [i3]Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic:
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization. CoRR abs/2003.00534 (2020)
2010 – 2019
- 2019
- [c5]Dongsheng Ding, Mihailo R. Jovanovic:
Global exponential stability of primal-dual gradient flow dynamics based on the proximal augmented Lagrangian. ACC 2019: 3414-3419 - [c4]Dongsheng Ding, Xiaohan Wei, Mihailo R. Jovanovic:
Distributed robust statistical learning: Byzantine mirror descent. CDC 2019: 1822-1827 - [i2]Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic:
Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization. CoRR abs/1908.02805 (2019) - [i1]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 abs/1910.00783 (2019) - 2018
- [c3]Dongsheng Ding, Mihailo R. Jovanovic
:
A primal-dual laplacian gradient flow dynamics for distributed resource allocation problems. ACC 2018: 5316-5320 - [c2]Dongsheng Ding, Bin Hu, Neil K. Dhingra, Mihailo R. Jovanovic
An Exponentially Convergent Primal-Dual Algorithm for Nonsmooth Composite Minimization. CDC 2018: 4927-4932 - 2014
- [c1]Dongsheng Ding, Donglian Qi, Yao Meng, Li Xu:
Adaptive Mittag-Leffler stabilization of commensurate fractional-order nonlinear systems. CDC 2014: 6920-6926 - 2012
- [j1]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): 2246-2259 (2012)
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