Thinh T. Doan
Title
Cited by
Cited by
Year
Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation for Multi-Agent Reinforcement Learning
TT Doan, ST Maguluri, J Romberg
International Conference on Machine Learning, 2019
45*2019
Performance of Q-learning with Linear Function Approximation: Stability and Finite-Time Analysis
Z Chen, S Zhang, TT Doan, ST Maguluri, JP Clarke
arXiv preprint arXiv:1905.11425, 2019
37*2019
Distributed resource allocation on dynamic networks in quadratic time
TT Doan, A Olshevsky
https://arxiv.org/abs/1507.07850, 2015
312015
Distributed Lagrangian Methods for Network Resource Allocation
TT Doan, CL Beck
arXiv preprint arXiv:1609.06287, 2016
29*2016
On the convergence rate of distributed gradient methods for finite-sum optimization under communication delays
TT Doan, CL Beck, R Srikant
arXiv preprint arXiv:1708.03277, 2017
28*2017
Convergence of the iterates in mirror descent methods
TT Doan, S Bose, DH Nguyen, CL Beck
IEEE control systems letters 3 (1), 114-119, 2018
222018
Fast Convergence Rates of Distributed Subgradient Methods with Adaptive Quantization
TT Doan, ST Maguluri, J Romberg
arXiv preprint arXiv:1810.13245, 2018
212018
Finite-Time Performance of Distributed Temporal-Difference Learning with Linear Function Approximation
TT Doan, ST Maguluri, J Romberg
SIAM Journal on Mathematics of Data Science 3 (1), 298-320, 2021
202021
On the Convergence Rate of Distributed Gradient Methods for Finite-Sum Optimization under Communication Delays
TT Doan, CL Beck, R Srikant
Proceedings of the ACM on Measurement and Analysis of Computing Systems 1 (2 …, 2017
202017
On the geometric convergence rate of distributed economic dispatch/demand response in power networks
TT Doan, A Olshevsky
arXiv preprint arXiv:1609.06660, 2016
192016
Finite-time analysis and restarting scheme for linear two-time-scale stochastic approximation
TT Doan
arXiv preprint arXiv:1912.10583, 2019
142019
Distributed stochastic approximation for solving network optimization problems under random quantization
TT Doan, ST Maguluri, J Romberg
arXiv preprint arXiv:1810.11568, 2018
102018
Convergence rate of distributed subgradient methods under communication delays
TT Doan, CL Beck, R Srikant
2018 Annual American Control Conference (ACC), 5310-5315, 2018
82018
Distributed resource allocation over dynamic networks with uncertainty
TT Doan, CL Beck
IEEE Transactions on Automatic Control, 2020
72020
Convergence rates of accelerated markov gradient descent with applications in reinforcement learning
TT Doan, LM Nguyen, NH Pham, J Romberg
arXiv preprint arXiv:2002.02873, 2020
62020
Linear two-time-scale stochastic approximation a finite-time analysis
TT Doan, J Romberg
2019 57th Annual Allerton Conference on Communication, Control, and …, 2019
62019
On the convergence of distributed subgradient methods under quantization
TT Doan, ST Maguluri, J Romberg
2018 56th Annual Allerton Conference on Communication, Control, and …, 2018
62018
Aggregating stochastic gradients in distributed optimization
TT Doan
2018 Annual American Control Conference (ACC), 2170-2175, 2018
52018
Convergence Rates of Distributed Gradient Methods Under Random Quantization: A Stochastic Approximation Approach
TT Doan, ST Maguluri, J Romberg
IEEE Transactions on Automatic Control, 2020
42020
Distributed Lagrangian method for tie-line scheduling in power grids under uncertainty
TT Doan, S Bose, CL Beck
ACM SIGMETRICS Performance Evaluation Review 45 (2), 88-90, 2017
42017
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Articles 1–20