Heewoong Choi
I’m a Ph.D. student at Seoul National University, advised by Taesup Moon.
I aim to build adaptive AI agents that reason, plan, and act reliably in the real world. I approach this through reinforcement learning, world models, and self-evolving agents.
My earlier work focused on scalable RL algorithms that improve with more data and generalize over long horizons.
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) |