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Woojun Kim
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 24
Top Topics
Ni Fe
Stochastic Games
Reinforcement Learning
Decision Making Under Uncertainty
Top Venues
CoRR
ICML
AAMAS
ICLR
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Publications
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Jeonghye Kim
,
Suyoung Lee
,
Woojun Kim
,
Youngchul Sung
Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making.
ICLR
(2024)
Samuel Li
,
Sarthak Bhagat
,
Joseph Campbell
,
Yaqi Xie
,
Woojun Kim
,
Katia P. Sycara
,
Simon Stepputtis
ShapeGrasp: Zero-Shot Task-Oriented Grasping with Large Language Models through Geometric Decomposition.
CoRR
(2024)
Jeonghye Kim
,
Suyoung Lee
,
Woojun Kim
,
Youngchul Sung
Value-Aided Conditional Supervised Learning for Offline RL.
CoRR
(2024)
Woojun Kim
,
Whiyoung Jung
,
Myungsik Cho
,
Youngchul Sung
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning.
CoRR
(2023)
Woojun Kim
,
Youngchul Sung
Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement Learning.
CoRR
(2023)
Woojun Kim
,
Yongjae Shin
,
Jongeui Park
,
Youngchul Sung
Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents.
CoRR
(2023)
Sungho Choi
,
Seungyul Han
,
Woojun Kim
,
Jongseong Chae
,
Whiyoung Jung
,
Youngchul Sung
Domain Adaptive Imitation Learning with Visual Observation.
CoRR
(2023)
Woojun Kim
,
Jeonghye Kim
,
Youngchul Sung
LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework.
ICML
(2023)
Jeonghye Kim
,
Suyoung Lee
,
Woojun Kim
,
Youngchul Sung
Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making.
CoRR
(2023)
Sungho Choi
,
Seungyul Han
,
Woojun Kim
,
Jongseong Chae
,
Whiyoung Jung
,
Youngchul Sung
Domain Adaptive Imitation Learning with Visual Observation.
NeurIPS
(2023)
Woojun Kim
,
Jeonghye Kim
,
Youngchul Sung
LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework.
CoRR
(2023)
Woojun Kim
,
Yongjae Shin
,
Jongeui Park
,
Youngchul Sung
Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents.
NeurIPS
(2023)
Woojun Kim
,
Whiyoung Jung
,
Myungsik Cho
,
Youngchul Sung
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning.
AAMAS
(2023)
Md. Shahjalal
,
Woojun Kim
,
Waqas Khalid
,
Seokjae Moon
,
Murad Khan
,
Shuzhi Liu
,
Suhyeon Lim
,
Eunjin Kim
,
Deok Won Yun
,
Joohyun Lee
,
Won Cheol Lee
,
Seung-Hoon Hwang
,
Dongkyun Kim
,
Jang-Won Lee
,
Heejung Yu
,
Youngchul Sung
,
Yeong Min Jang
Enabling technologies for AI empowered 6G massive radio access networks.
ICT Express
9 (3) (2023)
Woojun Kim
,
Youngchul Sung
Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement Learning.
AAMAS
(2023)
Woojun Kim
,
Youngchul Sung
An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning.
ICML
(2023)
Jeewon Jeon
,
Woojun Kim
,
Whiyoung Jung
,
Youngchul Sung
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer.
ICML
(2022)
Jeewon Jeon
,
Woojun Kim
,
Whiyoung Jung
,
Youngchul Sung
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer.
CoRR
(2022)
Woojun Kim
,
Jongeui Park
,
Youngchul Sung
Communication in Multi-Agent Reinforcement Learning: Intention Sharing.
ICLR
(2021)
Hyeong-Geol Shin
,
Jingu Lee
,
Young Hyun Yun
,
Seong Ho Yoo
,
Jinhee Jang
,
Se Hong Oh
,
Yoonho Nam
,
Sehoon Jung
,
Sunhye Kim
,
Masaki Fukunaga
,
Woojun Kim
,
Hyung Jin Choi
,
Jongho Lee
χ-separation: Magnetic susceptibility source separation toward iron and myelin mapping in the brain.
NeuroImage
240 (2021)
Sungho Choi
,
Seungyul Han
,
Woojun Kim
,
Youngchul Sung
Cross-Domain Imitation Learning with a Dual Structure.
CoRR
(2020)
Woojun Kim
,
Whiyoung Jung
,
Myungsik Cho
,
Youngchul Sung
A Maximum Mutual Information Framework for Multi-Agent Reinforcement Learning.
CoRR
(2020)
Woojun Kim
,
Myungsik Cho
,
Youngchul Sung
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning.
AAAI
(2019)
Woojun Kim
,
Myungsik Cho
,
Youngchul Sung
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning.
CoRR
(2019)