Woojun Kim

According to our database, Woojun Kim authored at least 15 papers between 2019 and 2024.

Collaborative distances:

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

2024

ShapeGrasp: Zero-Shot Task-Oriented Grasping with Large Language Models through Geometric Decomposition.

Samuel Li, Sarthak Bhagat, Joseph Campbell, Yaqi Xie, Woojun Kim, Katia P. Sycara, Simon Stepputtis

CoRR, 2024

Value-Aided Conditional Supervised Learning for Offline RL.

Jeonghye Kim, Suyoung Lee, Woojun Kim, Youngchul Sung

CoRR, 2024

Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making.

Jeonghye Kim, Suyoung Lee, Woojun Kim, Youngchul Sung

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Enabling technologies for AI empowered 6G massive radio access networks.

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

ICT Express, 2023

Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents.

Woojun Kim, Yongjae Shin, Jongeui Park, Youngchul Sung

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

An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning.

Woojun Kim, Youngchul Sung

Proceedings of the International Conference on Machine Learning, 2023

LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework.

Woojun Kim, Jeonghye Kim, Youngchul Sung

Proceedings of the International Conference on Machine Learning, 2023

Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement Learning.

Woojun Kim, Youngchul Sung

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning.

Woojun Kim, Whiyoung Jung, Myungsik Cho, Youngchul Sung

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer.

Jeewon Jeon, Woojun Kim, Whiyoung Jung, Youngchul Sung

Proceedings of the International Conference on Machine Learning, 2022

2021

χ-separation: Magnetic susceptibility source separation toward iron and myelin mapping in the brain.

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

NeuroImage, 2021

Communication in Multi-Agent Reinforcement Learning: Intention Sharing.

Woojun Kim, Jongeui Park, Youngchul Sung

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

A Maximum Mutual Information Framework for Multi-Agent Reinforcement Learning.

Woojun Kim, Whiyoung Jung, Myungsik Cho, Youngchul Sung

CoRR, 2020

2019

Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning.

Woojun Kim, Myungsik Cho, Youngchul Sung

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019