| 2025 | AAAI | In-Context Policy Adaptation via Cross-Domain Skill Diffusion. | Minjong Yoo, Woo Kyung Kim, Honguk Woo |
| 2025 | ICML | World Model Implanting for Test-time Adaptation of Embodied Agents. | Minjong Yoo, Jinwoo Jang, Sihyung Yoon, Honguk Woo |
| 2024 | AAAI | Robust Policy Learning via Offline Skill Diffusion. | Woo Kyung Kim, Minjong Yoo, Honguk Woo |
| 2024 | AAAI | SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation. | Sangwoo Shin, Minjong Yoo, Jeongwoo Lee, Honguk Woo |
| 2024 | CVPR | Model Adaptation for Time Constrained Embodied Control. | Jaehyun Song, Minjong Yoo, Honguk Woo |
| 2024 | ICML | Embodied CoT Distillation From LLM To Off-the-shelf Agents. | Wonje Choi, Woo Kyung Kim, Minjong Yoo, Honguk Woo |
| 2024 | IJCAI | Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks. | Donghoon Kim, Minjong Yoo, Honguk Woo |
| 2024 | IJCAI | Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation. | Woo Kyung Kim, Minjong Yoo, Honguk Woo |
| 2023 | ICML | One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill. | Sangwoo Shin, Daehee Lee, Minjong Yoo, Woo Kyung Kim, Honguk Woo |
| 2022 | AAAI | Structure Learning-Based Task Decomposition for Reinforcement Learning in Non-stationary Environments. | Honguk Woo, Gwangpyo Yoo, Minjong Yoo |