Multi-Batch Experience Replay for Fast Convergence of Continuous Action Control. - Seungyul Han; Youngchul Sung (CoRR, 2017)

Filter Design for Generalized Frequency-Division Multiplexing. - Seungyul Han; Youngchul Sung; Yong Hoon Lee (IEEE Trans. Signal Process., 2017)

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

A Reinforcement Learning Formulation of the Lyapunov Optimization: Application to Edge Computing Systems with Queue Stability. - Sohee Bae; Seungyul Han; Youngchul Sung (CoRR, 2020)

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

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

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

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

FoX: Formation-aware exploration in multi-agent reinforcement learning. - Yonghyeon Jo; Sunwoo Lee 006; Junghyuk Yum; Seungyul Han (CoRR, 2023)

FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning. - Yonghyeon Jo; Sunwoo Lee 006; Junghyuk Yeom; Seungyul Han (AAAI, 2024)

Exclusively Penalized Q-learning for Offline Reinforcement Learning. - Junghyuk Yeom; Yonghyeon Jo; Jeongmo Kim; Sanghyeon Lee; Seungyul Han (NeurIPS, 2024)

Exclusively Penalized Q-learning for Offline Reinforcement Learning. - Junghyuk Yeom; Yonghyeon Jo; Jungmo Kim; Sanghyeon Lee; Seungyul Han (CoRR, 2024)

Adaptive multi-model fusion learning for sparse-reward reinforcement learning. - Giseung Park; Whiyoung Jung; Seungyul Han; Sungho Choi; Youngchul Sung (Neurocomputing, 2025)

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

Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning. - Sunwoo Lee 006; Jaebak Hwang; Yonghyeon Jo; Seungyul Han (CoRR, 2025)

Domain-Invariant Per-Frame Feature Extraction for Cross-Domain Imitation Learning with Visual Observations. - Minung Kim; Kawon Lee; Jungmo Kim; Sungho Choi; Seungyul Han (CoRR, 2025)

PRISM: A Robust Framework for Skill-based Meta-Reinforcement Learning with Noisy Demonstrations. - Sanghyeon Lee; Sangjun Bae; Yisak Park; Seungyul Han (CoRR, 2025)

Center of Gravity-Guided Focusing Influence Mechanism for Multi-Agent Reinforcement Learning. - Yisak Park; Sunwoo Lee 006; Seungyul Han (CoRR, 2025)

Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning. - Jaebak Hwang; Sanghyeon Lee; Jeongmo Kim; Seungyul Han (CoRR, 2025)