• In-Context Policy Adaptation via Cross-Domain Skill Diffusion
  M Yoo, WK Kim, H Woo
  Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025

• Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
  D Lee, M Yoo, WK Kim, W Choi, H Woo
  Proceedings of the 38th Conferenth on Neural Information Processing Systems (NeurIPS), 2024
  
  

• LLM-based Skill Diffusio for Zero-shot Policy Adaptation
  WK Kim, Y Lee, J Kim, H woo
  Proceedings of the 38th Conferenth on Neural Information Processing Systems (NeurIPS), 2024

• Embodied CoT Distillation From LLM To Off-the-shelf Agents
  W Choi, WK Kim, M Yoo, H Woo
  Proceedings of the 41st International Confeernce on Machine Learning (ICML), 2024

• Pareto Inverse Reinforcement Learning for Diverse Expert Policy Learning
  WK Kim, M Yoo, H Woo
  International Joint Conference on Artificial Intelligence (IJCAI), 2024

• Robust Policy Learning via Offline Skill Diffusion
  WK Kim, M Yoo, H Woo
  Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024

• Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents
  W Choi, WK Kim, SH Kim, H Woo
  Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS), 2023
  
  

• One-shot Imitation in a Non-Stationaary Environment via Multi-Modal Skil
  S Shin, D Lee, M Yoo ,WK Kim, H Woo
  Proceedings of the 40th International Conference on Machine Learning (ICML), 2023

• Mean-variance Based Risk-sensitive Reinforcement Learning with Interpretable Attention

WK Kim, Y Lee, H Woo

5th International Conference on Machine Vision and Applications (ICMVA), 2022

• Repot: Transferable Reinforcement Learning For Quality-centric Networked Monitoring In Various Environments

Y Lee, WK Kim, SH Choi, H Woo

IEEE Access 9, 147280-147294, 2022