Why People Participate in the Sharing Economy: A Social Exchange Perspective. - Jeonghye Kim; Youngseog Yoon; Hangjung Zo (PACIS, 2015)

LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework. - Woojun Kim; Jeonghye Kim; Youngchul Sung (ICML, 2023)

Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making. - Jeonghye Kim; Suyoung Lee; Woojun Kim; Youngchul Sung (ICLR, 2024)

Adaptive Q-Aid for Conditional Supervised Learning in Offline Reinforcement Learning. - Jeonghye Kim; Suyoung Lee; Woojun Kim; Youngchul Sung (NeurIPS, 2024)

Robust Reinforcement Learning Under Dimension-Wise State Information Drop. - Gyeongmin Kim; Jeonghye Kim; Suyoung Lee; Jaewoo Baek; Howon Moon; Sangheon Shin; Youngchul Sung (IEEE Access, 2024)

Value-Aided Conditional Supervised Learning for Offline RL. - Jeonghye Kim; Suyoung Lee; Woojun Kim; Youngchul Sung (CoRR, 2024)

ReflAct: World-Grounded Decision Making in LLM Agents via Goal-State Reflection. - Jeonghye Kim; Sojeong Rhee; Minbeom Kim; Dohyung Kim; Sangmook Lee; Youngchul Sung; Kyomin Jung (CoRR, 2025)

RAISE: Enhancing Scientific Reasoning in LLMs via Step-by-Step Retrieval. - Minhae Oh; Jeonghye Kim; Nakyung Lee; Donggeon Seo; Taeuk Kim; Jungwoo Lee (CoRR, 2025)

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 (CoRR, 2025)

Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data. - Jeonghye Kim; Yongjae Shin; Whiyoung Jung; Sunghoon Hong; Deunsol Yoon; Youngchul Sung; Kanghoon Lee; Woohyung Lim (CoRR, 2025)