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.