Model-free Learning for Risk-constrained Linear Quadratic Regulator with Structured Feedback in Networked Systems. - Kyung-bin Kwon; Lintao Ye; Vijay Gupta 001; Hao Zhu 001 (CDC, 2022)

Efficient Representation for Electric Vehicle Charging Station Operations using Reinforcement Learning. - Kyung-bin Kwon; Hao Zhu 001 (HICSS, 2022)

Reinforcement Learning-Based Optimal Battery Control Under Cycle-Based Degradation Cost. - Kyung-bin Kwon; Hao Zhu 001 (IEEE Trans. Smart Grid, 2022)

Reinforcement Learning-based Output Structured Feedback for Distributed Multi-Area Power System Frequency Control. - Kyung-bin Kwon; Sayak Mukherjee; Hao Zhu 001; Thanh Long Vu 002 (ACC, 2023)

Risk-Constrained Reinforcement Learning for Inverter-Dominated Power System Controls. - Kyung-bin Kwon; Sayak Mukherjee; Thanh Long Vu 002; Hao Zhu 001 (IEEE Control. Syst. Lett., 2023)

Structural Impact of Grid-Forming Inverters on Power System Coherency. - Sayak Mukherjee; Ramij Raja Hossain; Kaustav Chatterjee; Soumya Kundu; Kyung-bin Kwon; Sameer Nekkalapu; Marcelo A. Elizondo (IECON, 2024)

Coherency-Aware Learning Control of Inverter-Dominated Grids: A Distributed Risk-Constrained Approach. - Kyung-bin Kwon; Ramij Raja Hossain; Sayak Mukherjee; Kaustav Chatterjee; Soumya Kundu; Sameer Nekkalapu; Marcelo Elizondo (IEEE Control. Syst. Lett., 2024)

Physics-Informed Learning of Proprietary Inverter Models for Grid Dynamic Studies. - Kyung-bin Kwon; Sayak Mukherjee; Ramij Raja Hossain; Marcelo Elizondo (CoRR, 2025)