State-Constraint Static Hamilton-Jacobi Equations in Nested Domains. - Yeoneung Kim; Hung V. Tran; Son N. Tu (SIAM J. Math. Anal., 2020)

Training Wasserstein GANs without gradient penalties. - Dohyun Kwon 002; Yeoneung Kim; Guido Montúfar; Insoon Yang (CoRR, 2021)

Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs. - Yeoneung Kim; Insoon Yang; Kwang-Sung Jun (NeurIPS, 2022)

On representation formulas for optimal control: A Lagrangian perspective. - Yeoneung Kim; Insoon Yang (CoRR, 2022)

Infusing Model Predictive Control Into Meta-Reinforcement Learning for Mobile Robots in Dynamic Environments. - Jaeuk Shin; Astghik Hakobyan; Mingyu Park; Yeoneung Kim; Gihun Kim; Insoon Yang (IEEE Robotics Autom. Lett., 2022)

On Concentration Bounds for Bayesian Identification of Linear Non-Gaussian Systems. - Yeoneung Kim; Gihun Kim; Insoon Yang (CDC, 2023)

On the stability of Lipschitz continuous control problems and its application to reinforcement learning. - Namkyeong Cho; Yeoneung Kim (CoRR, 2024)

Approximate Thompson Sampling for Learning Linear Quadratic Regulators with O(√T) Regret. - Yeoneung Kim; Gihun Kim; Insoon Yang (CoRR, 2024)

Hamilton-Jacobi Based Policy-Iteration via Deep Operator Learning. - Jae Yong Lee; Yeoneung Kim (CoRR, 2024)

Deep Reinforcement Learning for the Design of Metamaterial Mechanisms with Functional Compliance Control. - Yejun Choi; Yeoneung Kim; Keun Park (CoRR, 2024)

Approximate Thompson Sampling for Learning Linear Quadratic Regulators with $O( sqrt{T})$ Regret. - Yeoneung Kim; Gihun Kim; Jiwhan Park; Insoon Yang (L4DC, 2025)

Deep reinforcement learning for optimal design of compliant mechanisms based on digitized cell structures. - Yejun Choi; Yeoneung Kim; Keun Park (Eng. Appl. Artif. Intell., 2025)

Hamilton-Jacobi based policy-iteration via deep operator learning. - Jae Yong Lee 002; Yeoneung Kim (Neurocomputing, 2025)

Acceleration of grokking in learning arithmetic operations via Kolmogorov-Arnold representation. - Yeachan Park; Minseok Kim; Yeoneung Kim (Neurocomputing, 2025)

Physics-Informed Neural Networks for Optimal Vaccination Plan in SIR Epidemic Models. - Minseok Kim; Yeongjong Kim; Yeoneung Kim (CoRR, 2025)

Solving nonconvex Hamilton-Jacobi-Isaacs equations with PINN-based policy iteration. - Hee Jun Yang; Minjung Gim; Yeoneung Kim (CoRR, 2025)

A diffusion-based generative model for financial time series via geometric Brownian motion. - Gihun Kim; Sun-Yong Choi; Yeoneung Kim (CoRR, 2025)