About me
I am a Ph.D student at CML Lab in Seoul National University, advised by Jungwoo Lee.
My research flow is mainly inspired by the human decision-making process, mathematically modeling it, and optimizing these models to derive theoretical results. I enjoy the process of getting inspired by philosophy, gaming, reading, and talking to people.
I am currently open to new opportunities and collaborations. I'm also interested in participating in research internships related to reinforcement learning.
My research interests are:
- Distributional Reinforcement Learning
- Regret Analysis / Bandit Theory
- Preference-based Reinforcement Learning
- Multi-agent Reinforcement Learning
Education
| Seoul National University, Korea. | M.S/ Ph.D in Electrical Engineering and Computer Science. | 2020-(Present). |
| Korea University, Korea. | Bachelor of Mathematics. | 2013-2020. |
Experience
| Teaching Assistant | Introduction to Reinforcement Learning | Seoul National University | Spring 2022 |
| Teaching Assistant | Introduction to Reinforcement Learning | Seoul National University | Spring 2021 |
| Military Service | ROK Air Force | 2016-2018 |
Academic Activities
Reviewer: NeurIPS, ICML, ICLR, AAAI
Talks
- Pitfall of Optimism: Distributional Reinforcement Learning with Randomized Risk Criterion, LG Tech Talk at LG AI Research, 2023