Park, Jongeui

8 publications

ICLR 2026 Flow Actor-Critic for Offline Reinforcement Learning Jongseong Chae, Jongeui Park, Yongjae Shin, Gyeongmin Kim, Seungyul Han, Youngchul Sung

ICLR 2026 Flow Matching with Injected Noise for Offline-to-Online Reinforcement Learning Yongjae Shin, Jongseong Chae, Jongeui Park, Youngchul Sung

ICML 2025 ARS: Adaptive Reward Scaling for Multi-Task Reinforcement Learning Myungsik Cho, Jongeui Park, Jeonghye Kim, Youngchul Sung

ICMLW 2024 EMPO: A Clustering-Based On-Policy Algorithm for Offline Reinforcement Learing Jongeui Park, Myungsik Cho, Youngchul Sung

ICML 2024 Hard Tasks First: Multi-Task Reinforcement Learning Through Task Scheduling Myungsik Cho, Jongeui Park, Suyoung Lee, Youngchul Sung

NeurIPS 2023 Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents Woojun Kim, Yongjae Shin, Jongeui Park, Youngchul Sung

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

ICLR 2021 Communication in Multi-Agent Reinforcement Learning: Intention Sharing Woojun Kim, Jongeui Park, Youngchul Sung