Population-Guided Parallel Policy Search for Reinforcement Learning. - Whiyoung Jung; Giseung Park; Youngchul Sung (ICLR, 2020)

A Maximum Mutual Information Framework for Multi-Agent Reinforcement Learning. - Woojun Kim; Whiyoung Jung; Myungsik Cho; Youngchul Sung (CoRR, 2020)

Robust Imitation Learning against Variations in Environment Dynamics. - Jongseong Chae; Seungyul Han; Whiyoung Jung; Myungsik Cho; Sungho Choi; Youngchul Sung (ICML, 2022)

MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer. - Jeewon Jeon; Woojun Kim; Whiyoung Jung; Youngchul Sung (ICML, 2022)

Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability. - Whiyoung Jung; Myungsik Cho; Jongeui Park; Youngchul Sung (NeurIPS, 2022)

A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning. - Woojun Kim; Whiyoung Jung; Myungsik Cho; Youngchul Sung (AAMAS, 2023)

Domain Adaptive Imitation Learning with Visual Observation. - Sungho Choi; Seungyul Han; Woojun Kim; Jongseong Chae; Whiyoung Jung; Youngchul Sung (NeurIPS, 2023)

Naphtha Cracking Center Scheduling Optimization using Multi-Agent Reinforcement Learning. - Sunghoon Hong; Deunsol Yoon; Whiyoung Jung; Jinsang Lee; Hyundam Yoo; Jiwon Ham; Suhyun Jung; Chanwoo Moon; Yeontae Jung; Kanghoon Lee; Woohyung Lim; Somin Jeon; et al. (AAMAS, 2024)

Adaptive multi-model fusion learning for sparse-reward reinforcement learning. - Giseung Park; Whiyoung Jung; Seungyul Han; Sungho Choi; Youngchul Sung (Neurocomputing, 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)