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Woojun Kim
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2020 – today
- 2024
- [c10]Jeonghye Kim, Suyoung Lee, Woojun Kim, Youngchul Sung:
Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making. ICLR 2024 - [i11]Jeonghye Kim, Suyoung Lee, Woojun Kim, Youngchul Sung:
Value-Aided Conditional Supervised Learning for Offline RL. CoRR abs/2402.02017 (2024) - [i10]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 abs/2403.18062 (2024) - 2023
- [j2]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): 341-355 (2023) - [c9]Woojun Kim, Whiyoung Jung, Myungsik Cho, Youngchul Sung:
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning. AAMAS 2023: 40-48 - [c8]Woojun Kim, Youngchul Sung:
Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement Learning. AAMAS 2023: 1942-1950 - [c7]Woojun Kim, Jeonghye Kim, Youngchul Sung:
LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework. ICML 2023: 16619-16638 - [c6]Woojun Kim, Youngchul Sung:
An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning. ICML 2023: 16829-16852 - [c5]Sungho Choi, Seungyul Han, Woojun Kim, Jongseong Chae, Whiyoung Jung, Youngchul Sung:
Domain Adaptive Imitation Learning with Visual Observation. NeurIPS 2023 - [c4]Woojun Kim, Yongjae Shin, Jongeui Park, Youngchul Sung:
Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents. NeurIPS 2023 - [i9]Woojun Kim, Whiyoung Jung, Myungsik Cho, Youngchul Sung:
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning. CoRR abs/2303.00451 (2023) - [i8]Woojun Kim, Youngchul Sung:
Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement Learning. CoRR abs/2303.00912 (2023) - [i7]Jeonghye Kim, Suyoung Lee, Woojun Kim, Youngchul Sung:
Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making. CoRR abs/2310.03022 (2023) - [i6]Woojun Kim, Jeonghye Kim, Youngchul Sung:
LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework. CoRR abs/2310.03342 (2023) - [i5]Woojun Kim, Yongjae Shin, Jongeui Park, Youngchul Sung:
Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents. CoRR abs/2310.20287 (2023) - [i4]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
- [c3]Jeewon Jeon, Woojun Kim, Whiyoung Jung, Youngchul Sung:
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer. ICML 2022: 10041-10052 - [i3]Jeewon Jeon, Woojun Kim, Whiyoung Jung, Youngchul Sung:
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer. CoRR abs/2206.10607 (2022) - 2021
- [j1]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: 118371 (2021) - [c2]Woojun Kim, Jongeui Park, Youngchul Sung:
Communication in Multi-Agent Reinforcement Learning: Intention Sharing. ICLR 2021 - 2020
- [i2]Woojun Kim, Whiyoung Jung, Myungsik Cho, Youngchul Sung:
A Maximum Mutual Information Framework for Multi-Agent Reinforcement Learning. CoRR abs/2006.02732 (2020)
2010 – 2019
- 2019
- [c1]Woojun Kim, Myungsik Cho, Youngchul Sung:
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning. AAAI 2019: 6079-6086 - [i1]Woojun Kim, Myungsik Cho, Youngchul Sung:
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning. CoRR abs/1902.06527 (2019)
Coauthor Index
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last updated on 2024-07-30 21:39 CEST by the dblp team
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