Yeoneung Kim

According to our database, Yeoneung Kim authored at least 17 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A diffusion-based generative model for financial time series via geometric Brownian motion.

Gihun Kim, Sun-Yong Choi, Yeoneung Kim

CoRR, July, 2025

Solving nonconvex Hamilton-Jacobi-Isaacs equations with PINN-based policy iteration.

Hee Jun Yang, Minjung Gim, Yeoneung Kim

CoRR, July, 2025

Physics-Informed Neural Networks for Optimal Vaccination Plan in SIR Epidemic Models.

Minseok Kim, Yeongjong Kim, Yeoneung Kim

CoRR, February, 2025

Acceleration of grokking in learning arithmetic operations via Kolmogorov-Arnold representation.

Yeachan Park, Minseok Kim, Yeoneung Kim

Neurocomputing, 2025

Hamilton-Jacobi based policy-iteration via deep operator learning.

Jae Yong Lee, Yeoneung Kim

Neurocomputing, 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

Approximate Thompson Sampling for Learning Linear Quadratic Regulators with $O(\sqrt{T})$ Regret.

Yeoneung Kim, Gihun Kim, Jiwhan Park, Insoon Yang

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

2024

Deep Reinforcement Learning for the Design of Metamaterial Mechanisms with Functional Compliance Control.

Yejun Choi, Yeoneung Kim, Keun Park

CoRR, 2024

Hamilton-Jacobi Based Policy-Iteration via Deep Operator Learning.

Jae Yong Lee, Yeoneung Kim

CoRR, 2024

Approximate Thompson Sampling for Learning Linear Quadratic Regulators with O(√T) Regret.

Yeoneung Kim, Gihun Kim, Insoon Yang

CoRR, 2024

On the stability of Lipschitz continuous control problems and its application to reinforcement learning.

Namkyeong Cho, Yeoneung Kim

CoRR, 2024

2023

On Concentration Bounds for Bayesian Identification of Linear Non-Gaussian Systems.

Yeoneung Kim, Gihun Kim, Insoon Yang

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

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 representation formulas for optimal control: A Lagrangian perspective.

Yeoneung Kim, Insoon Yang

CoRR, 2022

Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs.

Yeoneung Kim, Insoon Yang, Kwang-Sung Jun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Training Wasserstein GANs without gradient penalties.

Dohyun Kwon, Yeoneung Kim, Guido Montúfar, Insoon Yang

CoRR, 2021

2020

State-Constraint Static Hamilton-Jacobi Equations in Nested Domains.

Yeoneung Kim, Hung V. Tran, Son N. Tu

SIAM J. Math. Anal., 2020