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
61*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
45*2019
Distributed Lagrangian Methods for Network Resource Allocation
TT Doan, CL Beck
arXiv preprint arXiv:1609.06287, 2016
34*2016
Distributed resource allocation on dynamic networks in quadratic time
TT Doan, A Olshevsky
https://arxiv.org/abs/1507.07850, 2015
342015
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
302018
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
29*2017
Fast Convergence Rates of Distributed Subgradient Methods with Adaptive Quantization
TT Doan, ST Maguluri, J Romberg
arXiv preprint arXiv:1810.13245, 2018
272018
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
242021
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
212017
On the geometric convergence rate of distributed economic dispatch/demand response in power networks
TT Doan, A Olshevsky
arXiv preprint arXiv:1609.06660, 2016
202016
Finite-time analysis and restarting scheme for linear two-time-scale stochastic approximation
TT Doan
SIAM Journal on Control and Optimization 59 (4), 2798-2819, 2021
182021
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
17*2020
Distributed resource allocation over dynamic networks with uncertainty
TT Doan, CL Beck
IEEE Transactions on Automatic Control, 2020
92020
Convergence rate of distributed subgradient methods under communication delays
TT Doan, CL Beck, R Srikant
2018 Annual American Control Conference (ACC), 5310-5315, 2018
92018
Finite Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm
S Khodadadian, TT Doan, ST Maguluri, J Romberg
arXiv preprint arXiv:2101.10506, 2021
72021
A decentralized policy gradient approach to multi-task reinforcement learning
S Zeng, A Anwar, T Doan, A Raychowdhury, J Romberg
arXiv preprint arXiv:2006.04338, 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
72020
Linear two-time-scale stochastic approximation a finite-time analysis
TT Doan, J Romberg
2019 57th Annual Allerton Conference on Communication, Control, and …, 2019
72019
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
72018
Distributed two-time-scale methods over clustered networks
TV Pham, TT Doan, DH Nguyen
2021 American Control Conference (ACC), 4625-4630, 2021
52021
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