Sung, Youngchul

29 publications

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

NeurIPS 2025 Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach Woohyeon Byeon, Giseung Park, Jongseong Chae, Amir Leshem, Youngchul Sung

ICML 2025 Online Pre-Training for Offline-to-Online Reinforcement Learning Yongjae Shin, Jeonghye Kim, Whiyoung Jung, Sunghoon Hong, Deunsol Yoon, Youngsoo Jang, Geon-Hyeong Kim, Jongseong Chae, Youngchul Sung, Kanghoon Lee, Woohyung Lim

ICML 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

ICLR 2025 Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning Giseung Park, Youngchul Sung

NeurIPS 2024 Adaptive $q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning Jeonghye Kim, Suyoung Lee, Woojun Kim, Youngchul Sung

ICLR 2024 Decision ConvFormer: Local Filtering in MetaFormer Is Sufficient for Decision Making Jeonghye Kim, Suyoung Lee, Woojun 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

ICML 2024 The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm Giseung Park, Woohyeon Byeon, Seongmin Kim, Elad Havakuk, Amir Leshem, Youngchul Sung

ICML 2023 An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning Woojun Kim, Youngchul Sung

NeurIPSW 2023 Decision ConvFormer: Local Filtering in MetaFormer Is Sufficient for Decision Making Jeonghye Kim, Suyoung Lee, Woojun Kim, Youngchul Sung

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

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

NeurIPS 2023 Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition Suyoung Lee, Myungsik Cho, Youngchul Sung

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

ICMLW 2022 A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning Woojun Kim, Whiyoung Jung, Myungsik Cho, Youngchul Sung

ICMLW 2022 An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning Woojun Kim, Youngchul Sung

AAAI 2022 Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning Giseung Park, 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

ICLRW 2022 Multi-Task Reinforcement Learning with Task Representation Method Myungsik Cho, Whiyoung Jung, Youngchul Sung

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

ICML 2022 Robust Imitation Learning Against Variations in Environment Dynamics Jongseong Chae, Seungyul Han, Whiyoung Jung, Myungsik Cho, Sungho Choi, Youngchul Sung

NeurIPS 2021 A Max-Min Entropy Framework for Reinforcement Learning Seungyul Han, Youngchul Sung

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

ICML 2021 Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration Seungyul Han, Youngchul Sung

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

ICML 2019 Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning Seungyul Han, Youngchul Sung

AAAI 2019 Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning Woojun Kim, Myungsik Cho, Youngchul Sung