Thinh T. Doan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 66

Top Topics

Stochastic Approximation

Temporal Difference

Reinforcement Learning

Top Venues

IEEE Trans. Autom. Control.

Publications

Sihan Zeng, Thinh T. Doan, Justin Romberg
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning. SIAM J. Optim. 34 (1) (2024)
Sihan Zeng, Thinh T. Doan
Fast two-time-scale stochastic gradient method with applications in reinforcement learning. COLT (2024)
Duy Anh Do, Thinh T. Doan
Convergence Rates of Gradient Descent-Ascent Dynamics Under Delays in Solving Nonconvex Min-Max Optimization. ECC (2024)
Sihan Zeng, Thinh T. Doan
Fast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement Learning. CoRR (2024)
Sihan Zeng, Thinh T. Doan, Justin Romberg
Natural Policy Gradient and Actor Critic Methods for Constrained Multi-Task Reinforcement Learning. CoRR (2024)
Yitao Bai, Thinh T. Doan
Finite-time complexity of incremental policy gradient methods for solving multi-task reinforcement learning. L4DC (2024)
Nirupam Gupta, Thinh T. Doan, Nitin H. Vaidya
Byzantine Fault-Tolerance in Federated Local SGD Under $2f$-Redundancy. IEEE Trans. Control. Netw. Syst. 10 (4) (2023)
Thinh T. Doan
Finite-Time Analysis of Markov Gradient Descent. IEEE Trans. Autom. Control. 68 (4) (2023)
Thinh T. Doan
Finite-time convergence rates of distributed local stochastic approximation. Autom. 158 (2023)
Hao-Hsuan Chang, Yifei Song, Thinh T. Doan, Lingjia Liu
Federated Multi-Agent Deep Reinforcement Learning (Fed-MADRL) for Dynamic Spectrum Access. IEEE Trans. Wirel. Commun. 22 (8) (2023)
Amit Dutta, Thinh T. Doan, Jeffrey H. Reed
Resilient Federated Learning Under Byzantine Attack in Distributed Nonconvex Optimization with 2-$f$ Redundancy. CDC (2023)
Thinh T. Doan
Nonlinear Two-Time-Scale Stochastic Approximation: Convergence and Finite-Time Performance. IEEE Trans. Autom. Control. 68 (8) (2023)
Sajad Khodadadian, Thinh T. Doan, Justin Romberg, Siva Theja Maguluri
Finite-Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm. IEEE Trans. Autom. Control. 68 (6) (2023)
Sihan Zeng, Thinh T. Doan, Justin Romberg
Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems. CoRR (2023)
Sihan Zeng, Thinh T. Doan, Justin Romberg
Finite-Time Convergence Rates of Decentralized Stochastic Approximation With Applications in Multi-Agent and Multi-Task Learning. IEEE Trans. Autom. Control. 68 (5) (2023)
Sihan Zeng, Thinh T. Doan, Justin Romberg
Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes. CDC (2022)
Amit Dutta, Almuatazbellah M. Boker, Thinh T. Doan
Convergence Rates of Distributed Consensus over Cluster Networks: A Two-Time-Scale Approach. CDC (2022)
Sihan Zeng, Thinh T. Doan, Justin Romberg
Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games. NeurIPS (2022)
Dingyang Chen, Qi Zhang, Thinh T. Doan
Convergence and Price of Anarchy Guarantees of the Softmax Policy Gradient in Markov Potential Games. CoRR (2022)
Amit Dutta, Nila Masrourisaadat, Thinh T. Doan
Convergence Rates of Decentralized Gradient Dynamics over Cluster Networks: Multiple-Time-Scale Lyapunov Approach. CDC (2022)
Sarnaduti Brahma, Yitao Bai, Duy Anh Do, Thinh T. Doan
Convergence Rates of Asynchronous Policy Iteration for Zero-Sum Markov Games under Stochastic and Optimistic Settings. CDC (2022)
Zaiwei Chen, Sheng Zhang, Thinh T. Doan, John-Paul Clarke, Siva Theja Maguluri
Finite-sample analysis of nonlinear stochastic approximation with applications in reinforcement learning. Autom. 146 (2022)
Sihan Zeng, Thinh T. Doan, Justin Romberg
Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games. CoRR (2022)
Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
Convergence Rates of Distributed Gradient Methods Under Random Quantization: A Stochastic Approximation Approach. IEEE Trans. Autom. Control. 66 (10) (2021)
Sajad Khodadadian, Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
Finite Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm. CoRR (2021)
Thinh T. Doan
Finite-Time Convergence Rates of Nonlinear Two-Time-Scale Stochastic Approximation under Markovian Noise. CoRR (2021)
Thinh T. Doan
Nonlinear Two-Time-Scale Stochastic Approximation: Convergence and Finite-Time Performance. L4DC (2021)
Thiem V. Pham, Thinh T. Doan, Dinh Hoa Nguyen
Distributed two-time-scale methods over clustered networks. ACC (2021)
Sihan Zeng, Malik Aqeel Anwar, Thinh T. Doan, Arijit Raychowdhury, Justin Romberg
A decentralized policy gradient approach to multi-task reinforcement learning. UAI (2021)
Thinh T. Doan
Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max Problems. CoRR (2021)
Subhonmesh Bose, Hoa Dinh Nguyen, Haitian Liu, Ye Guo, Thinh T. Doan, Carolyn L. Beck
Distributed Grid Optimization via Distributed Dual Subgradient Methods with Averaging. CoRR (2021)
Sihan Zeng, Thinh T. Doan, Justin Romberg
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning. CoRR (2021)
Nirupam Gupta, Thinh T. Doan, Nitin H. Vaidya
Byzantine Fault-Tolerance in Federated Local SGD under 2f-Redundancy. CoRR (2021)
Nirupam Gupta, Thinh T. Doan, Nitin H. Vaidya
Byzantine Fault-Tolerance in Decentralized Optimization under 2f-Redundancy. ACC (2021)
Marcos M. Vasconcelos, Thinh T. Doan, Urbashi Mitra
Improved Convergence Rate for a Distributed Two-Time-Scale Gradient Method under Random Quantization. CDC (2021)
Thinh T. Doan, Carolyn L. Beck
Distributed Resource Allocation Over Dynamic Networks With Uncertainty. IEEE Trans. Autom. Control. 66 (9) (2021)
Sihan Zeng, Thinh T. Doan, Justin Romberg
Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes. CoRR (2021)
Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
Finite-Time Performance of Distributed Temporal-Difference Learning with Linear Function Approximation. SIAM J. Math. Data Sci. 3 (1) (2021)
Marcos M. Vasconcelos, Thinh T. Doan, Urbashi Mitra
Improved Convergence Rate for a Distributed Two-Time-Scale Gradient Method under Random Quantization. CoRR (2021)
Sihan Zeng, Thinh T. Doan, Justin Romberg
Finite-Time Analysis of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning. CDC (2021)
Thinh T. Doan
Finite-Time Analysis and Restarting Scheme for Linear Two-Time-Scale Stochastic Approximation. SIAM J. Control. Optim. 59 (4) (2021)
Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
Fast Convergence Rates of Distributed Subgradient Methods With Adaptive Quantization. IEEE Trans. Autom. Control. 66 (5) (2021)
Thinh T. Doan, Lam M. Nguyen, Nhan H. Pham, Justin Romberg
Finite-Time Analysis of Stochastic Gradient Descent under Markov Randomness. CoRR (2020)
Nirupam Gupta, Thinh T. Doan, Nitin H. Vaidya
Byzantine Fault-Tolerance in Decentralized Optimization under Minimal Redundancy. CoRR (2020)
Sihan Zeng, Aqeel Anwar, Thinh T. Doan, Justin Romberg, Arijit Raychowdhury
A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning. CoRR (2020)
Thinh T. Doan
Local Stochastic Approximation: A Unified View of Federated Learning and Distributed Multi-Task Reinforcement Learning Algorithms. CoRR (2020)
Sihan Zeng, Thinh T. Doan, Justin Romberg
Finite-Time Analysis of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning. CoRR (2020)
Thinh T. Doan
Nonlinear Two-Time-Scale Stochastic Approximation: Convergence and Finite-Time Performance. CoRR (2020)
Thinh T. Doan, Justin Romberg
Finite-Time Performance of Distributed Two-Time-Scale Stochastic Approximation. L4DC (2020)
Thiem V. Pham, Thinh T. Doan, Dinh Hoa Nguyen
Distributed two-time-scale methods over clustered networks. CoRR (2020)
Thinh T. Doan, Subhonmesh Bose, Dinh Hoa Nguyen, Carolyn L. Beck
Convergence of the Iterates in Mirror Descent Methods. IEEE Control. Syst. Lett. 3 (1) (2019)
Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation on Multi-Agent Reinforcement Learning. ICML (2019)
Zaiwei Chen, Sheng Zhang, Thinh T. Doan, Siva Theja Maguluri, John-Paul Clarke
Finite-Time Analysis of Q-Learning with Linear Function Approximation. CoRR (2019)
Thinh T. Doan
Finite-Time Analysis and Restarting Scheme for Linear Two-Time-Scale Stochastic Approximation. CoRR (2019)
Thinh T. Doan, Justin Romberg
Linear Two-Time-Scale Stochastic Approximation A Finite-Time Analysis. Allerton (2019)
Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
Finite-Time Performance of Distributed Temporal Difference Learning with Linear Function Approximation. CoRR (2019)
Pietro Pierpaoli, Thinh T. Doan, Justin Romberg, Magnus Egerstedt
A Reinforcement Learning Framework for Sequencing Multi-Robot Behaviors. CoRR (2019)
Thinh T. Doan, Carolyn L. Beck, R. Srikant
On the Convergence Rate of Distributed Gradient Methods for Finite-Sum Optimization under Communication Delays. SIGMETRICS (Abstracts) (2018)
Thinh T. Doan
Aggregating Stochastic Gradients in Distributed Optimization. ACC (2018)
Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
On the Convergence of Distributed Subgradient Methods under Quantization. Allerton (2018)
Thinh T. Doan, Carolyn L. Beck, R. Srikant
Convergence Rate of Distributed Subgradient Methods under Communication Delays. ACC (2018)
Thinh T. Doan, Carolyn L. Beck, R. Srikant
Convergence Rate of Distributed Consensus with Nonuniform Delays. ACSSC (2018)
Thinh T. Doan, Subhonmesh Bose, Carolyn L. Beck
Distributed Lagrangian Method for Tie-Line Scheduling in Power Grids under Uncertainty. SIGMETRICS Perform. Evaluation Rev. 45 (2) (2017)
Thinh T. Doan, Carolyn L. Beck, R. Srikant
On the Convergence Rate of Distributed Gradient Methods for Finite-Sum Optimization under Communication Delays. Proc. ACM Meas. Anal. Comput. Syst. 1 (2) (2017)
Thinh T. Doan, Alex Olshevsky
Distributed resource allocation on dynamic networks in quadratic time. Syst. Control. Lett. 99 (2017)
Thinh T. Doan, Carolyn L. Beck
Distributed Lagrangian methods for network resource allocation. CCTA (2017)