Jongseong Chae

Ph.D. Student @ SISReL, KAIST

jongseong.chae@kaist.ac.kr

About
Hello! I am a Ph.D. student at KAIST SISReL, advised by Youngchul Sung. My research is grounded in Reinforcement Learning (RL) for solving complex robotic tasks. Currently, I am exploring my scope to bridge RL with Vision-Language-Action (VLA) models to achieve more robust and scalable control.
News
Jan 2026     My personal website is out!
Publications

Flow Matching with Injected Noise for Offline-to-Online Reinforcement Learning

Yongjae Shin, Jongseong Chae, Jongeui Park, Youngchul Sung

Accepted to ICLR 2026

Paper Code

Flow Actor-Critic for Offline Reinforcement Learning

Jongseong Chae, Jongeui Park, Yongjae Shin, Gyeongmin Kim, Seungyul Han, Youngchul Sung

Accepted to ICLR 2026

Paper Code

Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach

Woohyeon Byeon, Giseung Park, Jongseong Chae, Amir Leshem, Youngchul Sung

NeurIPS 2025

Paper Code

Online pre-training for offline-to-online reinforcement learning

Yongjae Shin, Jeonghye Kim, Whiyoung Jung, Sunghoon Hong, Deunsol Yoon, Youngsoo Jang, Geonhyeong Kim, Jongseong Chae, Youngchul Sung, Kanghoon Lee, Woohyung Lim

ICML 2025

Paper Code

Domain adaptive imitation learning with visual observation

Sungho Choi, Seungyul Han, Woojun Kim, Jongseong Chae, Whiyoung Jung, Youngchul Sung

NeurIPS 2023

Paper Video Code

Robust imitation learning against variations in environment dynamics

Jongseong Chae, Seungyul Han, Whiyoung Jung, Myungsik Cho, Sungho Choi, Youngchul Sung

ICML 2022

Paper Video Code
Education

Korea Advanced Institute of Science and Technology (KAIST) Mar. 2021 - Present

Ph.D. Student (advisors: Youngchul Sung)

Korea Advanced Institute of Science and Technology (KAIST) Mar. 2019 - Feb. 2021

M.S. in EE (advisor: Youngchul Sung)

SungKyunKwan University (SKKU)Mar. 2012 - Feb. 2019

B.S. in EE
(Included 2-year leave of absence for mandatory military service)

Vitæ
Jongseong Chae
jongseong.chae@kaist.ac.kr