Heewoong Choi

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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
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)
[C3] Genomic Data Classification via Universal Compression
ISMB/ECCB 2025
[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)