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) Approximate Thompson sampling for learning linear quadratic regulators with O(\sqrt{T}) regret, Leraning for Control and Decision Conference (L4DC, selected for oral presentation), 2025
(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, Proceedings of the AMS, 2025
(with J. Lee) Hamilton-Jacobi Based Policy-Iteration via DeepOnet, preprint
(with N. Cho) On the stability of Lipschitz continuous control problems and its application to reinforcement learning, preprint
(with Y. Park, M. Kim) Acceleration of grokking in learning arithmetic operations via Kolmogorov-Arnold representation, submitted
(with Y. Choi, K. Park) Deep Reinforcement Learning for the Design of Metamaterial Mechanisms with Functional Compliance Control, Engineering Applications of Artificial Intelligence (EAAI), 2025
(with Y. Kim, M. Kim) Physics-Informed Neural Networks for optimal vaccination plan in SIR epidemic models, submitted
◾ On Concentration Bounds for Bayesian Identification of Linear Non-Gaussian Systems, Proceedings of the IEEE Conference on Decision and Control, 2023김연응
Conference Papers
◾ 이재용, 김연응, Hamilton--Jacobi Based Policy-Iteration via Deep Operator Learning, Proceedings of the KMS Conference, 성균관대학교, 2024김연응
◾ 김연응, 김기훈, 양인순, Approximate Thompson Sampling for Learning Linear Quadratic Regulators with O(\sqrt{T}) regret, Approximate Thompson Sampling for Learning Linear Quadratic Regulators with O(\sqrt{T}) regret, 캐나다, UBC, 2024김연응
◾ 최예준, 박근, 김연응, Design and Additive Manufacturing of Compliant Door-latch Mechanism Based on Reinforcement Learning:, SFF Symposium Preceedings Archive, 텍사스 오스틴 힐튼호텔, 2024김연응
◾ 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
