Seungyul Han - RankMe

30 papers A* 9Journal 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Flow Actor-Critic for Offline Reinforcement Learning. CoRR Jongseong Chae, Jongeui Park, Yongjae Shin, Gyeongmin Kim, Seungyul Han, Youngchul Sung
2026	J	`jnl`	Generalized Per-Agent Advantage Estimation for Multi-Agent Policy Optimization. CoRR Seongmin Kim, Giseung Park, Woojun Kim, Jiwon Jeon, Seungyul Han, Youngchul Sung
2026	J	`jnl`	Retaining Suboptimal Actions to Follow Shifting Optima in Multi-Agent Reinforcement Learning. CoRR Yonghyeon Jo, Sunwoo Lee, Seungyul Han
2025	J	`jnl`	Adaptive multi-model fusion learning for sparse-reward reinforcement learning. Neurocomputing Giseung Park, Whiyoung Jung, Seungyul Han, Sungho Choi, Youngchul Sung
2025	J	`jnl`	Center of Gravity-Guided Focusing Influence Mechanism for Multi-Agent Reinforcement Learning. CoRR Yisak Park, Sunwoo Lee, Seungyul Han
2025	J	`jnl`	Domain-Invariant Per-Frame Feature Extraction for Cross-Domain Imitation Learning with Visual Observations. CoRR Minung Kim, Kawon Lee, Jungmo Kim, Sungho Choi, Seungyul Han
2025	J	`jnl`	PRISM: A Robust Framework for Skill-based Meta-Reinforcement Learning with Noisy Demonstrations. CoRR Sanghyeon Lee, Sangjun Bae, Yisak Park, Seungyul Han
2025	J	`jnl`	Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning. CoRR Jaebak Hwang, Sanghyeon Lee, Jeongmo Kim, Seungyul Han
2025	A*	`conf`	Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks. ICML Jeongmo Kim, Yisak Park, Minung Kim, Seungyul Han
2025	J	`jnl`	Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks. CoRR Jeongmo Kim, Yisak Park, Minung Kim, Seungyul Han
2025	A*	`conf`	Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning. ICML Sunwoo Lee, Jaebak Hwang, Yonghyeon Jo, Seungyul Han
2025	J	`jnl`	Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning. CoRR Sunwoo Lee, Jaebak Hwang, Yonghyeon Jo, Seungyul Han
2024	A*	`conf`	Exclusively Penalized Q-learning for Offline Reinforcement Learning. NeurIPS Junghyuk Yeom, Yonghyeon Jo, Jeongmo Kim, Sanghyeon Lee, Seungyul Han
2024	J	`jnl`	Exclusively Penalized Q-learning for Offline Reinforcement Learning. CoRR Junghyuk Yeom, Yonghyeon Jo, Jungmo Kim, Sanghyeon Lee, Seungyul Han
2024	A*	`conf`	FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning. AAAI Yonghyeon Jo, Sunwoo Lee, Junghyuk Yeom, Seungyul Han
2023	A*	`conf`	Domain Adaptive Imitation Learning with Visual Observation. NeurIPS Sungho Choi, Seungyul Han, Woojun Kim, Jongseong Chae, Whiyoung Jung, Youngchul Sung
2023	J	`jnl`	Domain Adaptive Imitation Learning with Visual Observation. CoRR Sungho Choi, Seungyul Han, Woojun Kim, Jongseong Chae, Whiyoung Jung, Youngchul Sung
2023	J	`jnl`	FoX: Formation-aware exploration in multi-agent reinforcement learning. CoRR Yonghyeon Jo, Sunwoo Lee, Junghyuk Yum, Seungyul Han
2022	A*	`conf`	Robust Imitation Learning against Variations in Environment Dynamics. ICML Jongseong Chae, Seungyul Han, Whiyoung Jung, Myungsik Cho, Sungho Choi, Youngchul Sung
2022	J	`jnl`	Robust Imitation Learning against Variations in Environment Dynamics. CoRR Jongseong Chae, Seungyul Han, Whiyoung Jung, Myungsik Cho, Sungho Choi, Youngchul Sung
2021	A*	`conf`	A Max-Min Entropy Framework for Reinforcement Learning. NeurIPS Seungyul Han, Youngchul Sung
2021	J	`jnl`	A Max-Min Entropy Framework for Reinforcement Learning. CoRR Seungyul Han, Youngchul Sung
2021	A*	`conf`	Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration. ICML Seungyul Han, Youngchul Sung
2020	J	`jnl`	A Reinforcement Learning Formulation of the Lyapunov Optimization: Application to Edge Computing Systems with Queue Stability. CoRR Sohee Bae, Seungyul Han, Youngchul Sung
2020	J	`jnl`	Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration. CoRR Seungyul Han, Youngchul Sung
2019	A*	`conf`	Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning. ICML Seungyul Han, Youngchul Sung
2019	J	`jnl`	Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning. CoRR Seungyul Han, Youngchul Sung
2017	J	`jnl`	Filter Design for Generalized Frequency-Division Multiplexing. IEEE Trans. Signal Process. Seungyul Han, Youngchul Sung, Yong Hoon Lee
2017	J	`jnl`	Multi-Batch Experience Replay for Fast Convergence of Continuous Action Control. CoRR Seungyul Han, Youngchul Sung
2016	J	`jnl`	Filter Design for Generalized Frequency-Division Multiplexing. CoRR Seungyul Han, Youngchul Sung, Yong Hoon Lee