Thinh T. Doan
Orcid: 0000-0001-5135-3429Affiliations:
- Virginia Tech, Bradley Department of Electrical and Computer Engineering, Arlington, VA, USA
According to our database1,
Thinh T. Doan
authored at least 57 papers
between 2012 and 2024.
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on orcid.org
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on ece.vt.edu
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Bibliography
2024
Distributed Dual Subgradient Methods with Averaging and Applications to Grid Optimization.
J. Optim. Theory Appl., November, 2024
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning.
SIAM J. Optim., March, 2024
Natural Policy Gradient and Actor Critic Methods for Constrained Multi-Task Reinforcement Learning.
CoRR, 2024
Fast Nonlinear Two-Time-Scale Stochastic Approximation: Achieving O(1/k) Finite-Sample Complexity.
CoRR, 2024
Finite-time complexity of incremental policy gradient methods for solving multi-task reinforcement learning.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024
Convergence Rates of Gradient Descent-Ascent Dynamics Under Delays in Solving Nonconvex Min-Max Optimization.
Proceedings of the European Control Conference, 2024
Fast two-time-scale stochastic gradient method with applications in reinforcement learning.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024
2023
IEEE Trans. Control. Netw. Syst., December, 2023
Autom., December, 2023
Federated Multi-Agent Deep Reinforcement Learning (Fed-MADRL) for Dynamic Spectrum Access.
IEEE Trans. Wirel. Commun., August, 2023
Nonlinear Two-Time-Scale Stochastic Approximation: Convergence and Finite-Time Performance.
IEEE Trans. Autom. Control., August, 2023
IEEE Trans. Autom. Control., June, 2023
Finite-Time Convergence Rates of Decentralized Stochastic Approximation With Applications in Multi-Agent and Multi-Task Learning.
IEEE Trans. Autom. Control., May, 2023
Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Resilient Federated Learning Under Byzantine Attack in Distributed Nonconvex Optimization with 2-$f$ Redundancy.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
Convergence and Price of Anarchy Guarantees of the Softmax Policy Gradient in Markov Potential Games.
CoRR, 2022
Finite-sample analysis of nonlinear stochastic approximation with applications in reinforcement learning.
Autom., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max Problems.
Proceedings of the Learning for Dynamics and Control Conference, 2022
Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Convergence Rates of Decentralized Gradient Dynamics over Cluster Networks: Multiple-Time-Scale Lyapunov Approach.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Convergence Rates of Distributed Consensus over Cluster Networks: A Two-Time-Scale Approach.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Convergence Rates of Asynchronous Policy Iteration for Zero-Sum Markov Games under Stochastic and Optimistic Settings.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
Convergence Rates of Distributed Gradient Methods Under Random Quantization: A Stochastic Approximation Approach.
IEEE Trans. Autom. Control., 2021
Fast Convergence Rates of Distributed Subgradient Methods With Adaptive Quantization.
IEEE Trans. Autom. Control., 2021
IEEE Trans. Autom. Control., 2021
Finite-Time Performance of Distributed Temporal-Difference Learning with Linear Function Approximation.
SIAM J. Math. Data Sci., 2021
Finite-Time Analysis and Restarting Scheme for Linear Two-Time-Scale Stochastic Approximation.
SIAM J. Control. Optim., 2021
Distributed Grid Optimization via Distributed Dual Subgradient Methods with Averaging.
CoRR, 2021
Finite-Time Convergence Rates of Nonlinear Two-Time-Scale Stochastic Approximation under Markovian Noise.
CoRR, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021
Finite-Time Analysis of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Improved Convergence Rate for a Distributed Two-Time-Scale Gradient Method under Random Quantization.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 American Control Conference, 2021
Proceedings of the 2021 American Control Conference, 2021
2020
CoRR, 2020
Local Stochastic Approximation: A Unified View of Federated Learning and Distributed Multi-Task Reinforcement Learning Algorithms.
CoRR, 2020
CoRR, 2020
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
2019
IEEE Control. Syst. Lett., 2019
Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation on Multi-Agent Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 57th Annual Allerton Conference on Communication, 2019
2018
PhD thesis, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
Proceedings of the 56th Annual Allerton Conference on Communication, 2018
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
Distributed Lagrangian Method for Tie-Line Scheduling in Power Grids under Uncertainty.
SIGMETRICS Perform. Evaluation Rev., 2017
Syst. Control. Lett., 2017
On the Convergence Rate of Distributed Gradient Methods for Finite-Sum Optimization under Communication Delays.
Proc. ACM Meas. Anal. Comput. Syst., 2017
Proceedings of the IEEE Conference on Control Technology and Applications, 2017
2012
Proceedings of the 50th Annual Allerton Conference on Communication, 2012