Woojun Kim
Orcid: 0000-0001-8886-8848
According to our database1,
Woojun Kim
authored at least 20 papers
between 2019 and 2024.
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Bibliography
2024
HiMemFormer: Hierarchical Memory-Aware Transformer for Multi-Agent Action Anticipation.
CoRR, 2024
DyPNIPP: Predicting Environment Dynamics for RL-based Robust Informative Path Planning.
CoRR, 2024
Escaping Local Minima: Hybrid Artificial Potential Field with Wall-Follower for Decentralized Multi-Robot Navigation.
CoRR, 2024
Adaptive Q-Aid for Conditional Supervised Learning in Offline Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
ShapeGrasp: Zero-Shot Task-Oriented Grasping with Large Language Models through Geometric Decomposition.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
ICT Express, 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
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
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
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
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