World Model Implanting for Test-time Adaptation of Embodied Agents
M Yoo, J Jang, S Yoon, H Woo
ICML 2025
NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks in Open Domains
W Choi*, J Park*, S Ahn, D Lee, H Woo
ICLR 2025
Model Risk-sensitive Offline Reinforcement Learning
G Yoo, H Woo
ICLR 2025
In-Context Policy Adaptation Via Cross-Domain Skill Diffusion
M Yoo, WK Kim, H Woo
AAAI 2025
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
D Lee, M Yoo, WK Kim, W Choi, H Woo
NeurIPS 2024
LLM-based Skill Diffusion for Zero-shot Policy Adaptation
WK Kim, Y Lee, J Kim, H Woo
NeurIPS 2024
Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following
M Yoo, J Jang, W Park, H Woo
NeurIPS 2024
LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble
Y Lee*, S Shin*, W Park, H Woo
EMNLP Findings 2024
Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments
S Shin*, S Kim*, Y Jang, M Lee, H Woo
ACL Findings 2024
Embodied CoT Distillation From LLM To Off-the-shelf Agents
W Choi, WK Kim, M Yoo, H Woo
ICML 2024
Offline Policy Learning Via Skill-step Abstraction For Long-horizon Goal-Conditioned Tasks
D Kim, M Yoo, H Woo
IJCAI 2024
Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation
WK Kim, M Yoo, H Woo
IJCAI 2024
Model Adaptation for Time Constrained Embodied Control
J Song*, M Yoo*, H Woo
CVPR 2024
Robust Policy Learning via Offline Skill Diffusion
WK Kim, M Yoo, H Woo
AAAI 2024
Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures
G Yoo, J Park, H Woo
AAAI 2024
SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation
S Shin, M Yoo, J Lee, H Woo
AAAI 2024
Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents
W Choi, WK Kim, S Kim, H Woo
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023
One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
S Shin, D Lee, M Yoo, WK Kim, H Woo
Proceedings of the 40th International Conference on Machine Learning (ICML), 2023
A Configurable Model-based Reinforcement Learning Framework For Disaggregated Storage Systems
S Jeong, H Woo
IEEE Access 11
A Maturity Model for Trustworthy AI Software Development
S Cho, I Kim, J Kim, H Woo, W Shin
Applied Sciences
Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning
M Yoo, S Cho, H Woo
Advances in Neural Information Processing Systems (NeurIPS), 2022
Federated Offline Reinforcement Learning for Autonomous Systems
J Park, H Woo
Computer and Communication Engineering: 2nd International Conference, CCCE 2022
Sample-Efficient Deep Learning Techniques for Burn Severity Assessment with Limited Data Conditions
H Shin, H Shin, W Choi, J Park, M Park, E Koh, H Woo
Applied Sciences 12 (14), 7317
Toward an effective bug triage system using transformers to add new developers
SFA Zaidi, H Woo, CG Lee
Journal of Sensors 2022
Integrating A Deep Learning-based Plane Detector in Mobile AR Systems for Improvement of Plane Detection
Y Kim, H Woo
Proceedings of the 8th International Conference on Computing and Artificial Intelligence
A graph convolution network-based bug triage system to learn heterogeneous graph representation of bug reports
SFA Zaidi, H Woo, CG Lee
IEEE access 10, 20677-20689
Transfer Learning based Precise Pose Estimation with Insufficient Data
W Choi, H Woo
2022 the 5th International Conference on Machine Vision and Applications (ICMVA)
Iterative Pruning-based Model Compression for Pose Estimation on Resource-constrained Devices
SH Choi, W Choi, Y Lee, H Woo
2022 the 5th International Conference on Machine Vision and Applications (ICMVA)
Mean-variance Based Risk-sensitive Reinforcement Learning with Interpretable Attention
WK Kim, Y Lee, H Woo
2022 the 5th International Conference on Machine Vision and Applications (ICMVA)
Reinforcement Learning based Load Balancing in a Distributed Heterogeneous Storage System
J Park, S Jeong, H Woo
2022 International Conference on Information Networking (ICOIN), 482-485
Structure Learning-Based Task Decomposition for Reinforcement Learning In Non-Stationary Environment
H Woo, G Yoo, M Yoo
AAAI 2022
H Woo, H Lee, S Cho
AAAI 2022
A Global DAG Task Scheduler Using Deep Reinforcement Learning and Graph Convolution Network
H Lee, S Cho, Y Jang, J Lee, H Woo
IEEE Access 9, 158548-158561
Repot: Transferable Reinforcement Learning for Quality-Centric Networked Monitoring in Various Environments
Y Lee, WK Kim, SH Choi, I Yeom, H Woo
IEEE Access 9, 147280-147294
Efficient user-level multi-path utilization in rdma networks
S Lee, Y Kim, H Woo, I Yeom
IEEE Access 9, 127619-127629
Differentiable ranking metric using relaxed sorting for top-k recommendation
H Lee, S Cho, Y Jang, J Kim, H Woo
IEEE Access 9, 114649-114658
Gemma: reinforcement learning-based graph embedding and mapping for virtual network applications
M Park, Y Lee, I Yeom, H Woo
IEEE Access 9, 105463-105476
ML for RT: Priority assignment using machine learning
S Lee, H Baek, H Woo, KG Shin, J Lee
2021 IEEE 27th Real-Time and Embedded Technology and Applications Symposium (RTAS)
GPU-ether: GPU-native packet I/O for GPU applications on commodity ethernet
C Jung, S Kim, I Yeom, H Woo, Y Kim
IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10
Deep learning-based logging recommendation using merged code representation
S Lee, Y Lee, CG Lee, H Woo
IT Convergence and Security: Proceedings of ICITCS 2020, 49-53
rocorl: Transferable Reinforcement Learning-based Robust Control for Cyber-Physical Systems with Limited Data Updates
G Yoo, M Yoo, I Yeom, H Woo
IEEE Access
Fixed Priority Global Scheduling from a Deep Learning Perspective
H Lee, M Wang, H Woo
arXiv preprint arXiv:2012.03002
Applying convolutional neural networks with different word representation techniques to recommend bug fixers
SFA Zaidi, FM Awan, M Lee, H Woo, CG Lee
IEEE Access 8, 213729-213747
Panda: Reinforcement learning-based priority assignment for multi-processor real-time scheduling
H Lee, J Lee, I Yeom, H Woo
IEEE Access 8, 185570-185583
A Differentiable Ranking Metric Using Relaxed Sorting Operation for Top-K Recommender Systems
H Lee, Y Jang, J Kim, H Woo
arXiv preprint arXiv:2008.13141
Continual prediction of bug-fix time using deep learning-based activity stream embedding
Y Lee, S Lee, CG Lee, I Yeom, H Woo
IEEE Access 8, 10503-10515
Room-area Adhoc G roup Management for Timely Coordination of Voice-enabled Consumer Devices
D Song, J Park, H Woo
2020 IEEE International Conference on Consumer Electronics (ICCE), 1-2
SCARL: Attentive reinforcement learning-based scheduling in a multi-resource heterogeneous cluster
M Cheong, H Lee, I Yeom, H Woo
IEEE Access 7, 153432-153444
Resource-efficient sensor data management for autonomous systems using deep reinforcement learning
S Jeong, G Yoo, M Yoo, I Yeom, H Woo
Sensors 19 (20), 4410
Event-Triggered Ephemeral Group Communication and Coordination over Sound for Smart Consumer Devices
D Song, I Yeom, H Woo
Sensors 19 (8), 1883
Deep reinforcement learning based sensor data management for vehicles
J Moon, M Cheong, I Yeom, H Woo
2019 International Conference on Information Networking (ICOIN), 345-349