Donghwan Lee

Affiliations:
  • KAIST, Department of Electrical Engineering, Daejeon, South Korea
  • University of Illinois at Urbana-Champaign, Department of Mechanical Science and Engineering, Champaign, IL, USA
  • Purdue University, Department of Electrical and Computer Engineering, West Lafayette, IN, USA (former)


According to our database1, Donghwan Lee authored at least 44 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Optimal stabilizing rates of switched linear control systems under arbitrary known switchings.
Autom., January, 2024

Finite-Time Error Analysis of Online Model-Based Q-Learning with a Relaxed Sampling Model.
CoRR, 2024

Harnessing Membership Function Dynamics for Stability Analysis of T-S Fuzzy Systems.
CoRR, 2024

2023
New Versions of Gradient Temporal-Difference Learning.
IEEE Trans. Autom. Control., August, 2023

A Discrete-Time Switching System Analysis of Q-Learning.
SIAM J. Control. Optim., June, 2023

A primal-dual perspective for distributed TD-learning.
CoRR, 2023

Relaxed Conditions for Parameterized Linear Matrix Inequality in the Form of Nested Fuzzy Summations.
CoRR, 2023

On the Local Quadratic Stability of T-S Fuzzy Systems in the Vicinity of the Origin.
CoRR, 2023

Distributed Dynamic Programming forNetworked Multi-Agent Markov Decision Processes.
CoRR, 2023

Temporal Difference Learning with Experience Replay.
CoRR, 2023

Data-Driven Control Design With LMIs and Dynamic Programming.
IEEE Access, 2023

Backstepping Temporal Difference Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Finite-Time Analysis of Asynchronous Q-learning under Diminishing Step-Size from Control-Theoretic View.
CoRR, 2022

Analysis of Temporal Difference Learning: Linear System Approach.
CoRR, 2022

Regularized Q-learning.
CoRR, 2022

Distributed Off-Policy Temporal Difference Learning Using Primal-Dual Method.
IEEE Access, 2022

Formulations for Data-Driven Control Design and Reinforcement Learning.
Proceedings of the 17th IEEE International Conference on Control & Automation, 2022

2021
Versions of Gradient Temporal Difference Learning.
CoRR, 2021

Simulation Studies on Deep Reinforcement Learning for Building Control with Human Interaction.
CoRR, 2021

2020
Optimization for Reinforcement Learning: From a single agent to cooperative agents.
IEEE Signal Process. Mag., 2020

Graph Lyapunov function for switching stabilization and distributed computation.
Autom., 2020

A Unified Switching System Perspective and Convergence Analysis of Q-Learning Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Periodic Q-Learning.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

2019
Primal-Dual Q-Learning Framework for LQR Design.
IEEE Trans. Autom. Control., 2019

Sequential parametric convex approximation algorithm for bilinear matrix inequality problem.
Optim. Lett., 2019

A Unified Switching System Perspective and O.D.E. Analysis of Q-Learning Algorithms.
CoRR, 2019

Target-Based Temporal-Difference Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

Dynamic Programming for POMDP with Jointly Discrete and Continuous State-Spaces.
Proceedings of the 2019 American Control Conference, 2019

Stochastic Primal-Dual Q-Learning Algorithm For Discounted MDPs.
Proceedings of the 2019 American Control Conference, 2019

2018
Stabilizability of Discrete-Time Controlled Switched Linear Systems.
IEEE Trans. Autom. Control., 2018

Stabilization of Switched Linear Systems Using Continuous Control Input against Known Adversarial Switching.
Proceedings of the 14th IEEE International Conference on Control and Automation, 2018

Simulation-Based Policy Gradient and Its Building Control Application.
Proceedings of the 2018 Annual American Control Conference, 2018

Approximate Dynamic Programming for Building Control Problems with Occupant Interactions.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Local Model Predictive Control for T-S Fuzzy Systems.
IEEE Trans. Cybern., 2017

Periodic Stabilization of Discrete-Time Switched Linear Systems.
IEEE Trans. Autom. Control., 2017

Resilient Stabilization of Switched Linear Control Systems Against Adversarial Switching.
IEEE Trans. Autom. Control., 2017

Periodic stabilization of discrete-time controlled switched linear systems.
Proceedings of the 2017 American Control Conference, 2017

On the graph control Lyapunov function for stabilization of discrete-time switched linear systems.
Proceedings of the 2017 American Control Conference, 2017

2016
Local stabilization of discrete-time T-S fuzzy systems with magnitude- and energy-bounded disturbances.
Inf. Sci., 2016

Local state-feedback stabilization of nonlinear fuzzy systems with measurement errors in the state.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

A sequential parametric convex approximation method for solving bilinear matrix inequalities.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Periodic stabilization of switched linear systems revisited.
Proceedings of the 2016 American Control Conference, 2016

2015
Stabilizing switched linear systems under adversarial switching.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015


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