Biography
2011. 9 ~ 2019. 5, Ph.D. in Mathematics (minor in computer science), University of Wisconsin-Madison, USA
2008. 3 ~ 2011. 2, B.S. in Mathematics, POSTECH, Korea
Careers
2023 ~ current, Assistant Professor, SeoulTech, Korea
2022 ~ 2023, Assistant Professor, Gachon University, Korea
2021 ~ 2022, BK21 postdoctoral Researcher, Seoul National University, Korea
2019 ~ 2021, Staff Engineer, Samsung Electronics, Korea
2013 ~ 2016, Researcher, National Institute for Mathematical Sciences (NIMS), Korea
Selected Publications
Well-posedness for constrained Hamilton-Jacobi equations, Acta Applicandae Mathematicae, 2020
(with H. V. Tran, S. N.T. Tu) State-constraint static Hamilton-Jacobi equations in nested domains, SIAM Journal on Mathematical Analysis, 2020
(with I. Yang) On Representation Formulas for Optimal Control: A Lagrangian Perspective, IET Control Theory & Applications, 2022
(with I. Yang, K. Jun) Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs, Advances in Neural Information Processing Systems (NeurIPS), 2022
Journal Papers
Well-posedness for constrained Hamilton-Jacobi equations, Acta Applicandae Mathematicae, 2020
On uniqueness for one-dimensional constrained Hamilton-Jacobi equation, Minimax Theory and its Applications, 2020
(with H. V. Tran, S. N.T. Tu) State-constraint static Hamilton-Jacobi equations in nested domains, SIAM Journal on Mathematical Analysis, 2020
(with J. Shin, A. Hakobyan, M. Park, G. Kim, I. Yang) Infusing model predictive control into meta-reinforcement learning for mobile robots in dynamic environments, IEEE Robotics and Automation Letters, 2022
(with I. Yang) On Representation Formulas for Optimal Control: A Lagrangian Perspective, IET Control Theory & Applications, 2022
(with I. Yang, K. Jun) Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs, Advances in Neural Information Processing Systems (NeurIPS), 2022
(with K. Kim, I. Yang) On concentration bounds for Bayesian identification of linear non-Gaussian systems, Proceedings of the 62th IEEE Conference on Decision and Control (CDC), 2023
(with K. Kim, I. Yang) Learning Linear-Quadratic Regulators via Thompson Sampling with Langevin Dynamics, preprint
(with D. Kwon, G. Montufar, I. Yang) Training Wasserstein GANs without gradient penalties, preprint
(with J. Jang) On a minimum eradication time for SIR model with time-dependent coefficients, preprint
(with J. Lee) Hamilton-Jacobi Based Policy-Iteration via DeepOnet, preprint
(with N. Cho) On the stability of Lipscthiz continuous control problems and its application to reinforcement learning, preprint
◾ On Concentration Bounds for Bayesian Identification of Linear Non-Gaussian Systems, Proceedings of the IEEE Conference on Decision and Control, 2023김연응
Conference Papers
◾ Yeoneung Kim, Gihun Kim, Insoon Yang, On Concentration Bounds for Bayesian Identification of Linear Non-Gaussian Systems, Proceeding of 62nd IEEE Conference on Decision and Control, 싱가폴 마리나베이 호텔, 2023김연응
Projects
선도센터(SRC), 참여연구원, 2023-2030
생애첫연구 (NRF), PI, 2023-2026
Faculty
