Heewoong Choi
I’m a Ph.D. student at Seoul National University advised by Taesup Moon.
My primary research interest lies in developing scalable reinforcement learning (RL) algorithms, focusing on (1) improving performance as more data becomes available and (2) enabling generalization over long horizons.
Recently, I have been interested in extending the domain by leveraging offline RL to train large language models (LLMs) in multi-turn settings.
Education
| Mar. 2023 - Present | Seoul National University Ph.D. student in Electrical and Computer Engineering M.IN.D Lab (Advisor: Taesup Moon) |
| Mar. 2017 - Feb. 2023 | Seoul National University B.S. in Electrical and Computer Engineering Leave of absence for military service (Mar. 2019 - Feb. 2021) |
Publications
(*: equal contribution)
[C4] Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning
NeurIPS 2025 (Spotlight)
[C2] Listwise Reward Estimation for Offline Preference-based Reinforcement Learning
ICML 2024
[C1] NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations
WACV 2024
Work Experience
| Jun. 2022 - Nov. 2022 | NAVER CLOVA, AI engineer intern at CLOVA Image-Vision team Developed a head pose estimation model for real-time applications. |
Honors
| Mar. 2017 - Feb. 2023 | Presidential Science Scholarship Full enrollment fee from Korea Student Aid Foundation (KOSAF) |