Woojun Kim

Orcid: 0000-0001-8886-8848

According to our database1, Woojun Kim authored at least 15 papers between 2019 and 2024.

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Bibliography

2024
ShapeGrasp: Zero-Shot Task-Oriented Grasping with Large Language Models through Geometric Decomposition.
CoRR, 2024

Value-Aided Conditional Supervised Learning for Offline RL.
CoRR, 2024

2023
Enabling technologies for AI empowered 6G massive radio access networks.
ICT Express, 2023

Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making.
CoRR, 2023

Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents.
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.
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.
Proceedings of the International Conference on Machine Learning, 2023

LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework.
Proceedings of the International Conference on Machine Learning, 2023

Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement Learning.
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.
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.
Proceedings of the International Conference on Machine Learning, 2022

2021
χ-separation: Magnetic susceptibility source separation toward iron and myelin mapping in the brain.
NeuroImage, 2021

Communication in Multi-Agent Reinforcement Learning: Intention Sharing.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
A Maximum Mutual Information Framework for Multi-Agent Reinforcement Learning.
CoRR, 2020

2019
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


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