Woo Kyung Kim

According to our database, Woo Kyung Kim authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

In-Context Policy Adaptation via Cross-Domain Skill Diffusion.

Minjong Yoo, Woo Kyung Kim, Honguk Woo

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation.

Daehee Lee, Minjong Yoo, Woo Kyung Kim, Wonje Choi, Honguk Woo

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

LLM-based Skill Diffusion for Zero-shot Policy Adaptation.

Woo Kyung Kim, Youngseok Lee, Jooyoung Kim, Honguk Woo

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation.

Woo Kyung Kim, Minjong Yoo, Honguk Woo

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Embodied CoT Distillation From LLM To Off-the-shelf Agents.

Wonje Choi, Woo Kyung Kim, Minjong Yoo, Honguk Woo

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Robust Policy Learning via Offline Skill Diffusion.

Woo Kyung Kim, Minjong Yoo, Honguk Woo

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents.

Wonje Choi, Woo Kyung Kim, Seunghyun Kim, Honguk Woo

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

One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill.

Sangwoo Shin, Daehee Lee, Minjong Yoo, Woo Kyung Kim, Honguk Woo

Proceedings of the International Conference on Machine Learning, 2023

2022

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

Woo Kyung Kim, Youngseok Lee, Honguk Woo

Proceedings of the ICMVA 2022: The 5th International Conference on Machine Vision and Applications, Singapore, February 18, 2022

2021

Repot: Transferable Reinforcement Learning for Quality-Centric Networked Monitoring in Various Environments.

Youngseok Lee, Woo Kyung Kim, Sung Hyun Choi, Ikjun Yeom, Honguk Woo

IEEE Access, 2021