About

Hi! I am a first-year Ph.D. student in the Paul G. Allen School of Computer Science & Engineering at the University of Washington, advised by Professor Kevin Jamieson. My primary interests lie in reinforcement learning theory and, more broadly, decision-making under uncertainty, including areas such as multi-agent learning and game theory.

Here is my CV - Curriculum Vitae.
While CV contains my academic or other offical records, you can check out my Somewhat Unofficial Records and Facts at the link.

News

“Minimax Optimal Strategy for Delayed Observations in Online Reinforcement Learning” (joint work with Professor Kevin Jamieson) has been accepted to ICML 2026 as a Spotlight!

“Unified Framework of Distributional Regret in Multi-Armed Bandits and Reinforcement Learning” (joint work with Professor Min-hwan Oh) has been accepted to COLT 2026!

Details to be added for both papers.

Experiences

I was fortunate to work as an undergraduate researcher under the supervision of Professor Min-hwan Oh at Seoul National University.

In addition, I have actively participated in competitive programming. I competed in the 47th ICPC World Finals in Luxor, Egypt, in April 2024 and won a Silver Medal (7th place) and was named Asia Pacific Champion, which was an incredibly exciting experience.

Publications

[1] Harin Lee and Kevin Jamieson, “Minimax Optimal Strategy for Delayed Observations in Online Reinforcement Learning”, 2026. (arXiv preprint) [arxiv]
[2] Harin Lee and Min-hwan Oh, “Infrequent exploration in linear bandits”, Advances in Neural Information Processing Systems, 2025. [arxiv] [conf]
[3] Harin Lee and Min-hwan Oh, “Minimax optimal reinforcement learning with quasi-optimism”, International Conference on Learning Representations, 2025. [arxiv] [conf]
[4] Harin Lee, Taehyun Hwang, and Min-hwan Oh, “Lasso bandit with compatibility condition on optimal arm”, International Conference on Learning Representations, 2025. [arxiv] [conf]
[5] Harin Lee and Min-hwan Oh, “Improved regret of linear ensemble sampling”, Advances in Neural Information Processing Systems, vol. 37, 2025. [arxiv] [conf]

Blog

I write blog posts on noteworthy mathematical topics. I am also planning to share my thoughts on reinforcement learning and learning theory. I might add commentaries on my papers, though most of the time the papers should explain themselves sufficiently.