Stabilizing switched linear systems under adversarial switching. - Jianghai Hu; Donghwan Lee 002; Jinglai Shen (CDC, 2015)

Periodic stabilization of switched linear systems revisited. - Donghwan Lee 002; Jianghai Hu (ACC, 2016)

A sequential parametric convex approximation method for solving bilinear matrix inequalities. - Donghwan Lee 002; Jianghai Hu (CDC, 2016)

Local state-feedback stabilization of nonlinear fuzzy systems with measurement errors in the state. - Donghwan Lee 002; Jianghai Hu (FUZZ-IEEE, 2016)

Local stabilization of discrete-time T-S fuzzy systems with magnitude- and energy-bounded disturbances. - Donghwan Lee 002; Jianghai Hu (Inf. Sci., 2016)

On the graph control Lyapunov function for stabilization of discrete-time switched linear systems. - Donghwan Lee 002; Jianghai Hu (ACC, 2017)

Periodic stabilization of discrete-time controlled switched linear systems. - Donghwan Lee 002; Jianghai Hu (ACC, 2017)

Resilient Stabilization of Switched Linear Control Systems Against Adversarial Switching. - Jianghai Hu; Jinglai Shen; Donghwan Lee 002 (IEEE Trans. Autom. Control., 2017)

Periodic Stabilization of Discrete-Time Switched Linear Systems. - Donghwan Lee 002; Jianghai Hu (IEEE Trans. Autom. Control., 2017)

Local Model Predictive Control for T-S Fuzzy Systems. - Donghwan Lee 002; Jianghai Hu (IEEE Trans. Cybern., 2017)

Approximate Dynamic Programming for Building Control Problems with Occupant Interactions. - Donghwan Lee 002; Seungjae Lee 003; Panagiota Karava; Jianghai Hu (ACC, 2018)

Simulation-Based Policy Gradient and Its Building Control Application. - Donghwan Lee 002; Seungjae Lee 003; Panagiota Karava; Jianghai Hu (ACC, 2018)

Stabilization of Switched Linear Systems Using Continuous Control Input against Known Adversarial Switching. - Jianghai Hu; Jinglai Shen; Donghwan Lee 002 (ICCA, 2018)

Stabilizability of Discrete-Time Controlled Switched Linear Systems. - Donghwan Lee 002; Jianghai Hu (IEEE Trans. Autom. Control., 2018)

Stochastic Primal-Dual Q-Learning Algorithm For Discounted MDPs. - Donghwan Lee 002; Niao He (ACC, 2019)

Dynamic Programming for POMDP with Jointly Discrete and Continuous State-Spaces. - Donghwan Lee 002; Niao He; Jianghai Hu (ACC, 2019)

Target-Based Temporal-Difference Learning. - Donghwan Lee 002; Niao He (ICML, 2019)

A Unified Switching System Perspective and O.D.E. Analysis of Q-Learning Algorithms. - Donghwan Lee 002; Niao He (CoRR, 2019)

Sequential parametric convex approximation algorithm for bilinear matrix inequality problem. - Donghwan Lee 002; Jianghai Hu (Optim. Lett., 2019)

Primal-Dual Q-Learning Framework for LQR Design. - Donghwan Lee 002; Jianghai Hu (IEEE Trans. Autom. Control., 2019)

Periodic Q-Learning. - Donghwan Lee 002; Niao He (L4DC, 2020)

A Unified Switching System Perspective and Convergence Analysis of Q-Learning Algorithms. - Donghwan Lee 002; Niao He (NeurIPS, 2020)

Graph Lyapunov function for switching stabilization and distributed computation. - Donghwan Lee 002; Geir E. Dullerud; Jianghai Hu (Autom., 2020)

Optimization for Reinforcement Learning: From a single agent to cooperative agents. - Donghwan Lee 002; Niao He; Parameswaran Kamalaruban; Volkan Cevher (IEEE Signal Process. Mag., 2020)

Simulation Studies on Deep Reinforcement Learning for Building Control with Human Interaction. - Donghwan Lee 002; Niao He; Seungjae Lee 003; Panagiota Karava; Jianghai Hu (CoRR, 2021)

Versions of Gradient Temporal Difference Learning. - Donghwan Lee 002; Han-Dong Lim; Jihoon Park; Okyong Choi (CoRR, 2021)

Formulations for Data-Driven Control Design and Reinforcement Learning. - Donghwan Lee 002; Do Wan Kim (ICCA, 2022)

Distributed Off-Policy Temporal Difference Learning Using Primal-Dual Method. - Donghwan Lee 002; Do Wan Kim; Jianghai Hu (IEEE Access, 2022)

Regularized Q-learning. - Han-Dong Lim; Do Wan Kim; Donghwan Lee 002 (CoRR, 2022)

Analysis of Temporal Difference Learning: Linear System Approach. - Donghwan Lee 002; Do Wan Kim (CoRR, 2022)

Convergence of Dynamic Programming on the Semidefinite Cone for Discrete-Time Infinite-Horizon LQR. - Donghwan Lee 002 (IEEE Trans. Autom. Control., 2022)

Backstepping Temporal Difference Learning. - Han-Dong Lim; Donghwan Lee 002 (ICLR, 2023)

Data-Driven Control Design With LMIs and Dynamic Programming. - Donghwan Lee 002; Do Wan Kim (IEEE Access, 2023)

Temporal Difference Learning with Experience Replay. - Han-Dong Lim; Donghwan Lee 002 (CoRR, 2023)

Distributed Dynamic Programming forNetworked Multi-Agent Markov Decision Processes. - Okyong Choi; Donghwan Lee 002 (CoRR, 2023)

On the Local Quadratic Stability of T-S Fuzzy Systems in the Vicinity of the Origin. - Donghwan Lee 002; Do Wan Kim (CoRR, 2023)

A primal-dual perspective for distributed TD-learning. - Han-Dong Lim; Donghwan Lee 002 (CoRR, 2023)

A Discrete-Time Switching System Analysis of Q-Learning. - Donghwan Lee 002; Jianghai Hu; Niao He (SIAM J. Control. Optim., 2023)

New Versions of Gradient Temporal-Difference Learning. - Donghwan Lee 002; Han-Dong Lim; Jihoon Park; Okyong Choi (IEEE Trans. Autom. Control., 2023)

Suppressing Overestimation in Q-Learning Through Adversarial Behaviors. - HyeAnn Lee; Donghwan Lee 002 (Allerton, 2024)

Analysis of Off-Policy Multi-Step TD-Learning with Linear Function Approximation. - Donghwan Lee 002 (CDC, 2024)

Continuous-Time Distributed Dynamic Programming for Networked Multi-Agent Markov Decision Processes. - Donghwan Lee 002; Han-Dong Lim; Do Wan Kim (ICCA, 2024)

Regularized Q-Learning. - Han-Dong Lim; Donghwan Lee 002 (NeurIPS, 2024)

Finite-Time Analysis of Asynchronous Q-Learning Under Diminishing Step-Size From Control-Theoretic View. - Han-Dong Lim; Donghwan Lee 002 (IEEE Access, 2024)

Finite-Time Error Analysis of Online Model-Based Q-Learning with a Relaxed Sampling Model. - Han-Dong Lim; HyeAnn Lee; Donghwan Lee 002 (CoRR, 2024)

A finite time analysis of distributed Q-learning. - Han-Dong Lim; Donghwan Lee 002 (CoRR, 2024)

Finite-Time Analysis of Simultaneous Double Q-learning. - Hyunjun Na; Donghwan Lee 002 (CoRR, 2024)

Harnessing membership function dynamics for stability analysis of T-S fuzzy systems. - Donghwan Lee 002; Do Wan Kim (Inf. Sci., 2024)

Finite-Time Analysis of Temporal Difference Learning with Experience Replay. - Han-Dong Lim; Donghwan Lee 002 (Trans. Mach. Learn. Res., 2024)

Optimal stabilizing rates of switched linear control systems under arbitrary known switchings. - Jianghai Hu; Jinglai Shen; Donghwan Lee 002 (Autom., 2024)

Relaxed Conditions for Parameterized Linear Matrix Inequality in the Form of Double Fuzzy Summation. - Do Wan Kim; Donghwan Lee 002 (IEEE Trans. Fuzzy Syst., 2024)

Relaxed conditions for parameterized linear matrix inequality in the form of nested fuzzy summations. - Do Wan Kim; Donghwan Lee 002 (Appl. Math. Comput., 2025)

Analysis of Off-Policy n-Step TD-Learning with Linear Function Approximation. - Han-Dong Lim; Donghwan Lee 002 (CoRR, 2025)

Understanding the theoretical properties of projected Bellman equation, linear Q-learning, and approximate value iteration. - Han-Dong Lim; Donghwan Lee 002 (CoRR, 2025)