default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSeungyul Han
Person information
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
2020 – today
- 2026
[i23]Yonghyeon Jo, Sunwoo Lee, Seungyul Han:
Retaining Suboptimal Actions to Follow Shifting Optima in Multi-Agent Reinforcement Learning. CoRR abs/2602.17062 (2026)- [i22]Jongseong Chae, Jongeui Park, Yongjae Shin, Gyeongmin Kim, Seungyul Han, Youngchul Sung:
Flow Actor-Critic for Offline Reinforcement Learning. CoRR abs/2602.18015 (2026) - [i21]Seongmin Kim, Giseung Park, Woojun Kim, Jiwon Jeon, Seungyul Han, Youngchul Sung:
Generalized Per-Agent Advantage Estimation for Multi-Agent Policy Optimization. CoRR abs/2603.02654 (2026) - [i20]Mingu Kang, Sunwoo Lee, Yonghyeon Jo, Seungyul Han:
Shaping Zero-Shot Coordination via State Blocking. CoRR abs/2605.11688 (2026) - [i19]Minung Kim, Jeongmo Kim, Gwanwoo Choi, Seungyul Han:
Bridging Domain Gaps with Target-Aligned Generation for Offline Reinforcement Learning. CoRR abs/2605.13054 (2026) - [i18]Sunwoo Lee, Mingu Kang, Yonghyeon Jo, Seungyul Han:
Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning. CoRR abs/2605.18024 (2026) - [i17]Sangjun Bae, Yisak Park, Sanghyeon Lee, Seungyul Han:
LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2605.18077 (2026) - 2025
- [j2]Giseung Park
, Whiyoung Jung, Seungyul Han, Sungho Choi, Youngchul Sung:
Adaptive multi-model fusion learning for sparse-reward reinforcement learning. Neurocomputing 633: 129748 (2025) - [c9]Sunwoo Lee, Jaebak Hwang, Yonghyeon Jo, Seungyul Han:
Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning. ICML 2025 - [c8]Jeongmo Kim, Yisak Park, Minung Kim, Seungyul Han:
Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks. ICML 2025 - [i16]Jeongmo Kim, Yisak Park, Minung Kim, Seungyul Han:
Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks. CoRR abs/2502.02834 (2025) - [i15]Sunwoo Lee, Jaebak Hwang, Yonghyeon Jo, Seungyul Han:
Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning. CoRR abs/2502.02844 (2025) - [i14]Minung Kim, Kawon Lee, Jungmo Kim, Sungho Choi, Seungyul Han:
Domain-Invariant Per-Frame Feature Extraction for Cross-Domain Imitation Learning with Visual Observations. CoRR abs/2502.02867 (2025) - [i13]Sanghyeon Lee, Sangjun Bae, Yisak Park, Seungyul Han:
PRISM: A Robust Framework for Skill-based Meta-Reinforcement Learning with Noisy Demonstrations. CoRR abs/2502.03752 (2025) - [i12]Yisak Park, Sunwoo Lee, Seungyul Han:
Center of Gravity-Guided Focusing Influence Mechanism for Multi-Agent Reinforcement Learning. CoRR abs/2506.19417 (2025) - [i11]Jaebak Hwang, Sanghyeon Lee, Jeongmo Kim, Seungyul Han:
Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning. CoRR abs/2506.21039 (2025) - 2024
- [c7]Yonghyeon Jo, Sunwoo Lee, Junghyuk Yeom, Seungyul Han:
FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning. AAAI 2024: 12985-12994 - [c6]Junghyuk Yeom, Yonghyeon Jo, Jeongmo Kim, Sanghyeon Lee, Seungyul Han:
Exclusively Penalized Q-learning for Offline Reinforcement Learning. NeurIPS 2024 - [i10]Junghyuk Yeom, Yonghyeon Jo, Jungmo Kim, Sanghyeon Lee, Seungyul Han:
Exclusively Penalized Q-learning for Offline Reinforcement Learning. CoRR abs/2405.14082 (2024) - 2023
- [c5]Sungho Choi, Seungyul Han, Woojun Kim, Jongseong Chae, Whiyoung Jung, Youngchul Sung:
Domain Adaptive Imitation Learning with Visual Observation. NeurIPS 2023 - [i9]Yonghyeon Jo, Sunwoo Lee, Junghyuk Yum, Seungyul Han:
FoX: Formation-aware exploration in multi-agent reinforcement learning. CoRR abs/2308.11272 (2023) - [i8]Sungho Choi, Seungyul Han, Woojun Kim, Jongseong Chae, Whiyoung Jung, Youngchul Sung:
Domain Adaptive Imitation Learning with Visual Observation. CoRR abs/2312.00548 (2023) - 2022
- [c4]Jongseong Chae, Seungyul Han, Whiyoung Jung, Myungsik Cho, Sungho Choi, Youngchul Sung:
Robust Imitation Learning against Variations in Environment Dynamics. ICML 2022: 2828-2852 - [i7]Jongseong Chae, Seungyul Han, Whiyoung Jung, Myungsik Cho, Sungho Choi, Youngchul Sung:
Robust Imitation Learning against Variations in Environment Dynamics. CoRR abs/2206.09314 (2022) - 2021
- [c3]Seungyul Han, Youngchul Sung:
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration. ICML 2021: 4018-4029 - [c2]Seungyul Han, Youngchul Sung:
A Max-Min Entropy Framework for Reinforcement Learning. NeurIPS 2021: 25732-25745 - [i6]Seungyul Han, Youngchul Sung:
A Max-Min Entropy Framework for Reinforcement Learning. CoRR abs/2106.10517 (2021) - 2020
- [i5]Seungyul Han, Youngchul Sung:
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration. CoRR abs/2006.01419 (2020) - [i4]Sohee Bae, Seungyul Han, Youngchul Sung:
A Reinforcement Learning Formulation of the Lyapunov Optimization: Application to Edge Computing Systems with Queue Stability. CoRR abs/2012.07279 (2020)
2010 – 2019
- 2019
- [c1]Seungyul Han, Youngchul Sung:
Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning. ICML 2019: 2586-2595 - [i3]Seungyul Han, Youngchul Sung:
Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning. CoRR abs/1905.02363 (2019) - 2017
- [j1]Seungyul Han, Youngchul Sung, Yong Hoon Lee:
Filter Design for Generalized Frequency-Division Multiplexing. IEEE Trans. Signal Process. 65(7): 1644-1659 (2017) - [i2]Seungyul Han, Youngchul Sung:
Multi-Batch Experience Replay for Fast Convergence of Continuous Action Control. CoRR abs/1710.04423 (2017) - 2016
- [i1]Seungyul Han, Youngchul Sung, Yong Hoon Lee:
Filter Design for Generalized Frequency-Division Multiplexing. CoRR abs/1607.04004 (2016)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-06-12 21:31 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
