Yeoneung Kim

activity

20212025

most citedInfusing model predictive control into meta-reinforcement learning for mobile robots in dynamic environments

21 citations · 26 across the 6 of their papers we have counts for

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2 papers · 1 filter

stat.ML2024

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

Yeoneung Kim, Gihun Kim, Jiwhan Park +1

We propose a novel Thompson sampling algorithm that learns linear quadratic regulators (LQR) with a Bayesian regret bound of $O (T)$ . Our method leverages Langevin dynamics w…

stat.ML2021

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

Yeoneung Kim, Insoon Yang, Kwang-Sung Jun

In online learning problems, exploiting low variance plays an important role in obtaining tight performance guarantees yet is challenging because variances are often not known a pr…

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

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

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