Han, Seungyul

13 publications

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

ICLR 2026 Retaining Suboptimal Actions to Follow Shifting Optima in Multi-Agent Reinforcement Learning Yonghyeon Jo, Sunwoo Lee, Seungyul Han

ICLR 2026 Self-Improving Skill Learning for Robust Skill-Based Meta-Reinforcement Learning Seungyul Han, Sanghyeon Lee, Sangjun Bae, Yisak Park

ICLR 2026 Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning Seungyul Han, Jaebak Hwang, Sanghyeon Lee, Jeongmo Kim

ICML 2025 Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks Jeongmo Kim, Yisak Park, Minung Kim, Seungyul Han

ICML 2025 Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning Sunwoo Lee, Jaebak Hwang, Yonghyeon Jo, Seungyul Han

NeurIPS 2024 Exclusively Penalized Q-Learning for Offline Reinforcement Learning Junghyuk Yeom, Yonghyeon Jo, Jungmo Kim, Sanghyeon Lee, Seungyul Han

AAAI 2024 FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning Yonghyeon Jo, Sunwoo Lee, Junghyuk Yeom, Seungyul Han

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

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

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