Seungyul Han

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 18

Top Topics

Continuous Action

Reinforcement Learning

Top Venues

IEEE Trans. Signal Process.

Publications

Junghyuk Yeom, Yonghyeon Jo, Jungmo Kim, Sanghyeon Lee, Seungyul Han
Exclusively Penalized Q-learning for Offline Reinforcement Learning. CoRR (2024)
Yonghyeon Jo, Sunwoo Lee, Junghyuk Yeom, Seungyul Han
FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning. AAAI (2024)
Sungho Choi, Seungyul Han, Woojun Kim, Jongseong Chae, Whiyoung Jung, Youngchul Sung
Domain Adaptive Imitation Learning with Visual Observation. CoRR (2023)
Sungho Choi, Seungyul Han, Woojun Kim, Jongseong Chae, Whiyoung Jung, Youngchul Sung
Domain Adaptive Imitation Learning with Visual Observation. NeurIPS (2023)
Yonghyeon Jo, Sunwoo Lee, Junghyuk Yum, Seungyul Han
FoX: Formation-aware exploration in multi-agent reinforcement learning. CoRR (2023)
Jongseong Chae, Seungyul Han, Whiyoung Jung, Myungsik Cho, Sungho Choi, Youngchul Sung
Robust Imitation Learning against Variations in Environment Dynamics. CoRR (2022)
Jongseong Chae, Seungyul Han, Whiyoung Jung, Myungsik Cho, Sungho Choi, Youngchul Sung
Robust Imitation Learning against Variations in Environment Dynamics. ICML (2022)
Seungyul Han, Youngchul Sung
A Max-Min Entropy Framework for Reinforcement Learning. NeurIPS (2021)
Seungyul Han, Youngchul Sung
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration. ICML (2021)
Seungyul Han, Youngchul Sung
A Max-Min Entropy Framework for Reinforcement Learning. CoRR (2021)
Seungyul Han, Youngchul Sung
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration. CoRR (2020)
Sungho Choi, Seungyul Han, Woojun Kim, Youngchul Sung
Cross-Domain Imitation Learning with a Dual Structure. CoRR (2020)
Sohee Bae, Seungyul Han, Youngchul Sung
A Reinforcement Learning Formulation of the Lyapunov Optimization: Application to Edge Computing Systems with Queue Stability. CoRR (2020)
Seungyul Han, Youngchul Sung
Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning. CoRR (2019)
Seungyul Han, Youngchul Sung
Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning. ICML (2019)
Seungyul Han, Youngchul Sung, Yong Hoon Lee
Filter Design for Generalized Frequency-Division Multiplexing. IEEE Trans. Signal Process. 65 (7) (2017)
Seungyul Han, Youngchul Sung
Multi-Batch Experience Replay for Fast Convergence of Continuous Action Control. CoRR (2017)
Seungyul Han, Youngchul Sung, Yong Hoon Lee
Filter Design for Generalized Frequency-Division Multiplexing. CoRR (2016)