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

Publications

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

Geonwoo Cho, Jaegyun Im, Jihwan Lee, Hojun Yi, Sejin kim, Sundong Kim
ICLR, 2026
CoRL Workshop on Resource-Rational Robot Learning, 2025
[Paper] [Project Page] [Code]

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

Geonwoo Cho, Jaemoon Lee, Jaegyun Im, Subi Lee, Jihwan Lee, Sundong Kim
ICLR, 2026
CoRL Workshop on Resource-Rational Robot Learning, 2025
[Paper] [Project Page] [Code]

ANCHOR: KL-Anchored Adaptation for Stable Offline-to-Online RL

Geonwoo Cho, Jaegyun Im, Doyoon Kim, Lexin Li
Preprint

Receding-Horizon Execution for Action Chunking in Offline-to-Online Reinforcement Learning

Jihwan Lee, Geonwoo Cho, Hojun Yi, Jaegyun Im, Giseung Park, Sundong Kim
ICML Workshop on Decision-Making from Offline Datasets to Online Adaptation: Black-Box Optimization to Reinforcement Learning, 2026

Causal-Paced Deep Reinforcement Learning

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

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
[Paper]

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