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Dongsheng Ding
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Cited by
Year
Natural policy gradient primal-dual method for constrained markov decision processes
D Ding, K Zhang, T Basar, M Jovanovic
Advances in Neural Information Processing Systems 33, 8378-8390, 2020
1652020
Provably efficient safe exploration via primal-dual policy optimization
D Ding, X Wei, Z Yang, Z Wang, M Jovanovic
International Conference on Artificial Intelligence and Statistics, 3304-3312, 2021
1452021
Non‐linear Mittag–Leffler stabilisation of commensurate fractional‐order non‐linear systems
D Ding, D Qi, Q Wang
IET Control Theory & Applications 9 (5), 681-690, 2015
962015
Independent policy gradient for large-scale markov potential games: Sharper rates, function approximation, and game-agnostic convergence
D Ding, CY Wei, K Zhang, M Jovanovic
International Conference on Machine Learning, 5166-5220, 2022
622022
Asymptotic pseudo-state stabilization of commensurate fractional-order nonlinear systems with additive disturbance
D Ding, D Qi, J Peng, Q Wang
Nonlinear Dynamics 81, 667-677, 2015
482015
Adaptive Mittag‐Leffler stabilization of a class of fractional order uncertain nonlinear systems
Q Wang, J Zhang, D Ding, D Qi
Asian Journal of Control 18 (6), 2343-2351, 2016
362016
Adaptive Mittag-Leffler stabilization of commensurate fractional-order nonlinear systems
D Ding, D Qi, Y Meng, L Xu
53rd IEEE Conference on Decision and Control, 6920-6926, 2014
362014
Convergence analysis and performance of an extended central force optimization algorithm
D Ding, D Qi, X Luo, J Chen, X Wang, P Du
Applied Mathematics and Computation 219 (4), 2246-2259, 2012
362012
Global exponential stability of primal-dual gradient flow dynamics based on the proximal augmented Lagrangian
D Ding, MR Jovanović
2019 American Control Conference (ACC), 3414-3419, 2019
212019
Convergence and sample complexity of natural policy gradient primal-dual methods for constrained MDPs
D Ding, K Zhang, J Duan, T Başar, MR Jovanović
arXiv preprint arXiv:2206.02346, 2022
182022
A convergence proof and parameter analysis of central force optimization algorithm
D Ding, X Luo, J Chen, X Wang, P Du, Y Guo
Journal of Convergence Information Technology 6 (10), 16-23, 2011
182011
Fast multi-agent temporal-difference learning via homotopy stochastic primal-dual optimization
D Ding, X Wei, Z Yang, Z Wang, MR Jovanović
arXiv preprint arXiv:1908.02805, 2019
152019
A primal-dual Laplacian gradient flow dynamics for distributed resource allocation problems
D Ding, MR Jovanović
2018 Annual American Control Conference (ACC), 5316-5320, 2018
152018
An exponentially convergent primal-dual algorithm for nonsmooth composite minimization
D Ding, B Hu, NK Dhingra, MR Jovanović
2018 IEEE Conference on Decision and Control (CDC), 4927-4932, 2018
102018
Mittag–Leffler synchronization of fractional-order uncertain chaotic systems
Q Wang, DS Ding, DL Qi
Chinese Physics B 24 (6), 060508, 2015
102015
Global exponential stability of primal-dual gradient flow dynamics based on the proximal augmented Lagrangian: A Lyapunov-based approach
D Ding, MR Jovanović
2020 59th IEEE Conference on Decision and Control (CDC), 4836-4841, 2020
82020
Last-iterate convergent policy gradient primal-dual methods for constrained mdps
D Ding, CY Wei, K Zhang, A Ribeiro
Advances in Neural Information Processing Systems 36, 2023
62023
Convergence and optimality of policy gradient primal-dual method for constrained Markov decision processes
D Ding, K Zhang, T Başar, MR Jovanović
2022 American Control Conference (ACC), 2851-2856, 2022
62022
Provably efficient generalized lagrangian policy optimization for safe multi-agent reinforcement learning
D Ding, X Wei, Z Yang, Z Wang, M Jovanovic
Learning for Dynamics and Control Conference, 315-332, 2023
52023
Fast multi-agent temporal-difference learning via homotopy stochastic primal-dual method
D Ding, X Wei, Z Yang, Z Wang, MR Jovanovic
Optimization Foundations for Reinforcement Learning Workshop, 33rd …, 2019
52019
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