I am M.S. student at Artificial Intelligence Graduate School, GIST

Research Interest

• Machine Learning and Deep Learning
• Reinforcement Learning

Education

GIST M.S.

• in Artificial Intelligence Graduate School
• Supervisor: Sundong Kim
• 2025 - present

GIST B.S.

• in School of Electrical Engineering and Computer Science
• Minors in Economics and Business
• 2019 - 2024
• Leave of absence for military service: Feb 2020 - Aug 2021

Experience

Research Interns

• GIST
• Data Science LAB
• Supervisor: Sundong Kim
• 01 / 2023 - 02 / 2025

Publications

2025

Causal-Paced Deep Reinforcement Learning

Geonwoo Cho, Jaegyun Im, Doyoon Kim, Sundong Kim
RLC Workshop on The Causal Reinforcement Learning, 2025. [pdf] [code]

TRACED: Transition-aware Regret Approximation with Co-learnability for Environment Design

Geonwoo Cho, Jaegyun Im, Jihwan Lee, Hojun Yi, Sejin kim, Sundong Kim
arXiv preprint. 2025 [pdf] [code]

AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill Diversification

Geonwoo Cho, Jaemoon Lee, Jaegyun Im, Subi Lee, Jihwan Lee, Sundong Kim
arXiv preprint. 2025 [pdf] [code]

2023

의사결정 트랜스포머를 사용한 추상화와 추론

(Abstraction and Reasoning Challenge with Decision Transformer)
Jaehyun Park, Jaegyun Im, Youngdo Lee, Donghyeon Shin, Sejin Kim, Sundong Kim
Korea Computer Congress (KCC), 2023.

Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformer

Jaehyun Park, Jaegyun Im, Sanha Hwang, Mintaek Lim, Sabina Ualibekova, Sejin Kim, Sundong Kim
ICML Workshop on Interactive Learning with Implicit Human Feedback, 2023 [pdf]

추상화 및 추론 문제 해결을 위한 대조학습

(Using Contrastive Learning for Abstraction and Reasoning Task)
Gyojoon Gu, Woochang Sim, Jaegyun Im, Sejin Kim, Sundong Kim
Korea Software Congress (KSC), 2023.