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ORCIDDonghwan Lee 0002
Person information
- unicode name: 이동환
- affiliation: KAIST, Department of Electrical Engineering, Daejeon, South Korea
- affiliation (2017 - 2020): University of Illinois at Urbana-Champaign, Department of Mechanical Science and Engineering, Champaign, IL, USA
- affiliation (PhD 2017): Purdue University, Department of Electrical and Computer Engineering, West Lafayette, IN, USA
Other persons with the same name
- Donghwan Lee — disambiguation page
- Donghwan Lee 0001
![[0000-0002-3878-6876]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3878-6876")
— Ewha Womans University, Department of Statistics, Seoul, South Korea (and 1 more) - Donghwan Lee 0003 — KAIST, Daejeon, South Korea
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Journal Articles
- 2025
[j20]Do Wan Kim, Donghwan Lee:
Relaxed conditions for parameterized linear matrix inequality in the form of nested fuzzy summations. Appl. Math. Comput. 487: 129079 (2025)- 2024
- [j19]Han-Dong Lim, Donghwan Lee:
Finite-Time Analysis of Asynchronous Q-Learning Under Diminishing Step-Size From Control-Theoretic View. IEEE Access 12: 149916-149939 (2024) - [j18]Jianghai Hu, Jinglai Shen, Donghwan Lee:
Optimal stabilizing rates of switched linear control systems under arbitrary known switchings. Autom. 159: 111331 (2024) - [j17]Donghwan Lee, Do Wan Kim:
Harnessing membership function dynamics for stability analysis of T-S fuzzy systems. Inf. Sci. 681: 121236 (2024) - [j16]Do Wan Kim, Donghwan Lee:
Relaxed Conditions for Parameterized Linear Matrix Inequality in the Form of Double Fuzzy Summation. IEEE Trans. Fuzzy Syst. 32(3): 1608-1612 (2024) - [j15]Han-Dong Lim, Donghwan Lee:
Finite-Time Analysis of Temporal Difference Learning with Experience Replay. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j14]Donghwan Lee, Do Wan Kim:
Data-Driven Control Design With LMIs and Dynamic Programming. IEEE Access 11: 14309-14321 (2023) - [j13]Donghwan Lee, Jianghai Hu, Niao He:
A Discrete-Time Switching System Analysis of Q-Learning. SIAM J. Control. Optim. 61(3): 1861-1880 (2023) - [j12]Donghwan Lee, Han-Dong Lim, Jihoon Park, Okyong Choi:
New Versions of Gradient Temporal-Difference Learning. IEEE Trans. Autom. Control. 68(8): 5006-5013 (2023) - 2022
- [j11]Donghwan Lee, Do Wan Kim, Jianghai Hu:
Distributed Off-Policy Temporal Difference Learning Using Primal-Dual Method. IEEE Access 10: 107077-107094 (2022) - [j10]Donghwan Lee:
Convergence of Dynamic Programming on the Semidefinite Cone for Discrete-Time Infinite-Horizon LQR. IEEE Trans. Autom. Control. 67(10): 5661-5668 (2022) - 2020
- [j9]Donghwan Lee, Geir E. Dullerud, Jianghai Hu:
Graph Lyapunov function for switching stabilization and distributed computation. Autom. 116: 108923 (2020) - [j8]Donghwan Lee, Niao He, Parameswaran Kamalaruban, Volkan Cevher:
Optimization for Reinforcement Learning: From a single agent to cooperative agents. IEEE Signal Process. Mag. 37(3): 123-135 (2020) - 2019
- [j7]Donghwan Lee, Jianghai Hu:
Sequential parametric convex approximation algorithm for bilinear matrix inequality problem. Optim. Lett. 13(4): 741-759 (2019) - [j6]Donghwan Lee, Jianghai Hu:
Primal-Dual Q-Learning Framework for LQR Design. IEEE Trans. Autom. Control. 64(9): 3756-3763 (2019) - 2018
- [j5]Donghwan Lee, Jianghai Hu:
Stabilizability of Discrete-Time Controlled Switched Linear Systems. IEEE Trans. Autom. Control. 63(10): 3516-3522 (2018) - 2017
- [j4]Donghwan Lee, Jianghai Hu:
Periodic Stabilization of Discrete-Time Switched Linear Systems. IEEE Trans. Autom. Control. 62(7): 3382-3394 (2017) - [j3]Jianghai Hu, Jinglai Shen, Donghwan Lee:
Resilient Stabilization of Switched Linear Control Systems Against Adversarial Switching. IEEE Trans. Autom. Control. 62(8): 3820-3834 (2017) - [j2]Donghwan Lee, Jianghai Hu:
Local Model Predictive Control for T-S Fuzzy Systems. IEEE Trans. Cybern. 47(9): 2556-2567 (2017) - 2016
- [j1]Donghwan Lee, Jianghai Hu:
Local stabilization of discrete-time T-S fuzzy systems with magnitude- and energy-bounded disturbances. Inf. Sci. 369: 304-316 (2016)
Conference and Workshop Papers
- 2024
- [c22]HyeAnn Lee, Donghwan Lee:
Suppressing Overestimation in Q-Learning Through Adversarial Behaviors. Allerton 2024: 1-7 - [c21]Donghwan Lee:
Analysis of Off-Policy Multi-Step TD-Learning with Linear Function Approximation. CDC 2024: 1153-1160 - [c20]Donghwan Lee, Han-Dong Lim, Do Wan Kim:
Continuous-Time Distributed Dynamic Programming for Networked Multi-Agent Markov Decision Processes. ICCA 2024: 960-967 - [c19]Han-Dong Lim, Donghwan Lee:
Regularized Q-Learning. NeurIPS 2024 - 2023
- [c18]Han-Dong Lim, Donghwan Lee:
Backstepping Temporal Difference Learning. ICLR 2023 - 2022
- [c17]Donghwan Lee, Do Wan Kim:
Formulations for Data-Driven Control Design and Reinforcement Learning. ICCA 2022: 207-212 - 2020
- [c16]Donghwan Lee, Niao He:
Periodic Q-Learning. L4DC 2020: 582-598 - [c15]Donghwan Lee, Niao He:
A Unified Switching System Perspective and Convergence Analysis of Q-Learning Algorithms. NeurIPS 2020 - 2019
- [c14]Donghwan Lee, Niao He, Jianghai Hu:
Dynamic Programming for POMDP with Jointly Discrete and Continuous State-Spaces. ACC 2019: 1250-1255 - [c13]Donghwan Lee, Niao He:
Stochastic Primal-Dual Q-Learning Algorithm For Discounted MDPs. ACC 2019: 4897-4902 - [c12]Donghwan Lee, Niao He:
Target-Based Temporal-Difference Learning. ICML 2019: 3713-3722 - 2018
- [c11]Donghwan Lee, Seungjae Lee, Panagiota Karava, Jianghai Hu:
Approximate Dynamic Programming for Building Control Problems with Occupant Interactions. ACC 2018: 3945-3950 - [c10]Donghwan Lee, Seungjae Lee, Panagiota Karava, Jianghai Hu:
Simulation-Based Policy Gradient and Its Building Control Application. ACC 2018: 5424-5429 - [c9]Jianghai Hu, Jinglai Shen, Donghwan Lee:
Stabilization of Switched Linear Systems Using Continuous Control Input against Known Adversarial Switching. ICCA 2018: 851-856 - 2017
- [c8]Donghwan Lee, Jianghai Hu:
On the graph control Lyapunov function for stabilization of discrete-time switched linear systems. ACC 2017: 5159-5164 - [c7]Donghwan Lee, Jianghai Hu:
Periodic stabilization of discrete-time controlled switched linear systems. ACC 2017: 5165-5170 - 2016
- [c6]Donghwan Lee, Jianghai Hu:
Periodic stabilization of switched linear systems revisited. ACC 2016: 691-696 - [c5]Donghwan Lee, Jianghai Hu:
Graph control Lyapunov function for stabilization of discrete-time switched linear systems. ACC 2016: 697-702 - [c4]Donghwan Lee, Jianghai Hu:
A sequential parametric convex approximation method for solving bilinear matrix inequalities. CDC 2016: 1965-1970 - [c3]Donghwan Lee, Jianghai Hu:
Local state-feedback stabilization of nonlinear fuzzy systems with measurement errors in the state. FUZZ-IEEE 2016: 1140-1146 - 2015
- [c2]Jianghai Hu, Donghwan Lee, Jinglai Shen:
Stabilizing switched linear systems under adversarial switching. CDC 2015: 2875-2880 - [c1]Donghwan Lee, Jianghai Hu:
Periodic stabilization of discrete-time switched linear systems. CDC 2015: 4260-4265
Informal and Other Publications
- 2025
- [i22]Han-Dong Lim, Donghwan Lee:
Analysis of Off-Policy n-Step TD-Learning with Linear Function Approximation. CoRR abs/2502.08941 (2025) - [i21]Han-Dong Lim, Donghwan Lee:
Understanding the theoretical properties of projected Bellman equation, linear Q-learning, and approximate value iteration. CoRR abs/2504.10865 (2025) - 2024
- [i20]Donghwan Lee, Do-Wan Kim:
Harnessing Membership Function Dynamics for Stability Analysis of T-S Fuzzy Systems. CoRR abs/2401.02216 (2024) - [i19]Han-Dong Lim, HyeAnn Lee, Donghwan Lee:
Finite-Time Error Analysis of Online Model-Based Q-Learning with a Relaxed Sampling Model. CoRR abs/2402.11877 (2024) - [i18]Han-Dong Lim, Donghwan Lee:
A finite time analysis of distributed Q-learning. CoRR abs/2405.14078 (2024) - [i17]Hyunjun Na, Donghwan Lee:
Finite-Time Analysis of Simultaneous Double Q-learning. CoRR abs/2406.09946 (2024) - 2023
- [i16]Han-Dong Lim, Donghwan Lee:
Backstepping Temporal Difference Learning. CoRR abs/2302.09875 (2023) - [i15]Han-Dong Lim, Donghwan Lee:
Temporal Difference Learning with Experience Replay. CoRR abs/2306.09746 (2023) - [i14]Okyong Choi, Donghwan Lee:
Distributed Dynamic Programming forNetworked Multi-Agent Markov Decision Processes. CoRR abs/2307.16706 (2023) - [i13]Donghwan Lee, Do Wan Kim:
On the Local Quadratic Stability of T-S Fuzzy Systems in the Vicinity of the Origin. CoRR abs/2309.06841 (2023) - [i12]Do Wan Kim, Donghwan Lee:
Relaxed Conditions for Parameterized Linear Matrix Inequality in the Form of Nested Fuzzy Summations. CoRR abs/2309.11988 (2023) - [i11]Han-Dong Lim, Donghwan Lee:
A primal-dual perspective for distributed TD-learning. CoRR abs/2310.00638 (2023) - [i10]HyeAnn Lee, Donghwan Lee:
Suppressing Overestimation in Q-Learning through Adversarial Behaviors. CoRR abs/2310.06286 (2023) - 2022
- [i9]Han-Dong Lim, Do Wan Kim, Donghwan Lee:
Regularized Q-learning. CoRR abs/2202.05404 (2022) - [i8]Donghwan Lee, Do Wan Kim:
Analysis of Temporal Difference Learning: Linear System Approach. CoRR abs/2204.10479 (2022) - [i7]Han-Dong Lim, Donghwan Lee:
Finite-Time Analysis of Asynchronous Q-learning under Diminishing Step-Size from Control-Theoretic View. CoRR abs/2207.12217 (2022) - 2021
- [i6]Donghwan Lee, Niao He, Seungjae Lee, Panagiota Karava, Jianghai Hu:
Simulation Studies on Deep Reinforcement Learning for Building Control with Human Interaction. CoRR abs/2103.07919 (2021) - [i5]Donghwan Lee, Han-Dong Lim, Jihoon Park, Okyong Choi:
Versions of Gradient Temporal Difference Learning. CoRR abs/2109.04033 (2021) - 2020
- [i4]Donghwan Lee, Niao He:
Periodic Q-Learning. CoRR abs/2002.09795 (2020) - 2019
- [i3]Donghwan Lee, Niao He:
Target-Based Temporal Difference Learning. CoRR abs/1904.10945 (2019) - [i2]Donghwan Lee, Niao He, Parameswaran Kamalaruban, Volkan Cevher:
Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents. CoRR abs/1912.00498 (2019) - [i1]Donghwan Lee, Niao He:
A Unified Switching System Perspective and O.D.E. Analysis of Q-Learning Algorithms. CoRR abs/1912.02270 (2019)
Coauthor Index
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