Seungyul Han

According to our database, Seungyul Han authored at least 26 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning.

Sangjun Bae, Yisak Park, Sanghyeon Lee, Seungyul Han

CoRR, May, 2026

Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning.

Sunwoo Lee, Mingu Kang, Yonghyeon Jo, Seungyul Han

CoRR, May, 2026

Bridging Domain Gaps with Target-Aligned Generation for Offline Reinforcement Learning.

Minung Kim, Jeongmo Kim, Gwanwoo Choi, Seungyul Han

CoRR, May, 2026

Shaping Zero-Shot Coordination via State Blocking.

Mingu Kang, Sunwoo Lee, Yonghyeon Jo, Seungyul Han

CoRR, May, 2026

Generalized Per-Agent Advantage Estimation for Multi-Agent Policy Optimization.

Seongmin Kim, Giseung Park, Woojun Kim, Jiwon Jeon, Seungyul Han, Youngchul Sung

CoRR, March, 2026

Flow Actor-Critic for Offline Reinforcement Learning.

Jongseong Chae, Jongeui Park, Yongjae Shin, Gyeongmin Kim, Seungyul Han, Youngchul Sung

CoRR, February, 2026

Retaining Suboptimal Actions to Follow Shifting Optima in Multi-Agent Reinforcement Learning.

Yonghyeon Jo, Sunwoo Lee, Seungyul Han

CoRR, February, 2026

2025

Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning.

Jaebak Hwang, Sanghyeon Lee, Jeongmo Kim, Seungyul Han

CoRR, June, 2025

Center of Gravity-Guided Focusing Influence Mechanism for Multi-Agent Reinforcement Learning.

Yisak Park, Sunwoo Lee, Seungyul Han

CoRR, June, 2025

PRISM: A Robust Framework for Skill-based Meta-Reinforcement Learning with Noisy Demonstrations.

Sanghyeon Lee, Sangjun Bae, Yisak Park, Seungyul Han

CoRR, February, 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, February, 2025

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning.

Sunwoo Lee, Jaebak Hwang, Yonghyeon Jo, Seungyul Han

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Exclusively Penalized Q-learning for Offline Reinforcement Learning.

Junghyuk Yeom, Yonghyeon Jo, Jungmo Kim, Sanghyeon Lee, Seungyul Han

CoRR, 2024

Exclusively Penalized Q-learning for Offline Reinforcement Learning.

Junghyuk Yeom, Yonghyeon Jo, Jeongmo Kim, Sanghyeon Lee, Seungyul Han

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning.

Yonghyeon Jo, Sunwoo Lee, Junghyuk Yeom, Seungyul Han

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

FoX: Formation-aware exploration in multi-agent reinforcement learning.

Yonghyeon Jo, Sunwoo Lee, Junghyuk Yum, Seungyul Han

CoRR, 2023

Domain Adaptive Imitation Learning with Visual Observation.

Sungho Choi, Seungyul Han, Woojun Kim, Jongseong Chae, Whiyoung Jung, Youngchul Sung

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Robust Imitation Learning against Variations in Environment Dynamics.

Jongseong Chae, Seungyul Han, Whiyoung Jung, Myungsik Cho, Sungho Choi, Youngchul Sung

Proceedings of the International Conference on Machine Learning, 2022

2021

A Max-Min Entropy Framework for Reinforcement Learning.

Seungyul Han, Youngchul Sung

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration.

Seungyul Han, Youngchul Sung

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

A Reinforcement Learning Formulation of the Lyapunov Optimization: Application to Edge Computing Systems with Queue Stability.

Sohee Bae, Seungyul Han, Youngchul Sung

CoRR, 2020

2019

Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning.

Seungyul Han, Youngchul Sung

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

Filter Design for Generalized Frequency-Division Multiplexing.

Seungyul Han, Youngchul Sung, Yong Hoon Lee

IEEE Trans. Signal Process., 2017

Multi-Batch Experience Replay for Fast Convergence of Continuous Action Control.

Seungyul Han, Youngchul Sung

CoRR, 2017