Yeoneung Kim

Orcid: 0000-0001-6293-3939

According to our database1, Yeoneung Kim authored at least 11 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Deep Reinforcement Learning for the Design of Metamaterial Mechanisms with Functional Compliance Control.
CoRR, 2024

Hamilton-Jacobi Based Policy-Iteration via Deep Operator Learning.
CoRR, 2024

Approximate Thompson Sampling for Learning Linear Quadratic Regulators with O(√T) Regret.
CoRR, 2024

Acceleration of Grokking in Learning Arithmetic Operations via Kolmogorov-Arnold Representation.
CoRR, 2024

On the stability of Lipschitz continuous control problems and its application to reinforcement learning.
CoRR, 2024

2023
On Concentration Bounds for Bayesian Identification of Linear Non-Gaussian Systems.
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.
IEEE Robotics Autom. Lett., 2022

On representation formulas for optimal control: A Lagrangian perspective.
CoRR, 2022

Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs.
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.
CoRR, 2021

2020
State-Constraint Static Hamilton-Jacobi Equations in Nested Domains.
SIAM J. Math. Anal., 2020


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