Resource-Efficient Sensor Data Management for Autonomous Systems Using Deep Reinforcement Learning. - Seunghwan Jeong; Gwangpyo Yoo; Minjong Yoo; Ikjun Yeom; Honguk Woo (Sensors, 2019)

rocorl: Transferable Reinforcement Learning-Based Robust Control for Cyber-Physical Systems With Limited Data Updates. - Gwangpyo Yoo; Minjong Yoo; Ikjun Yeom; Honguk Woo (IEEE Access, 2020)

Structure Learning-Based Task Decomposition for Reinforcement Learning in Non-stationary Environments. - Honguk Woo; Gwangpyo Yoo; Minjong Yoo (AAAI, 2022)

Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning. - Minjong Yoo; Sangwoo Cho; Honguk Woo (NeurIPS, 2022)

One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill. - Sangwoo Shin; Daehee Lee 001; Minjong Yoo; Woo Kyung Kim; Honguk Woo (ICML, 2023)

Robust Policy Learning via Offline Skill Diffusion. - Woo Kyung Kim; Minjong Yoo; Honguk Woo (AAAI, 2024)

SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation. - Sangwoo Shin; Minjong Yoo; Jeongwoo Lee; Honguk Woo (AAAI, 2024)

Model Adaptation for Time Constrained Embodied Control. - Jaehyun Song; Minjong Yoo; Honguk Woo (CVPR, 2024)

Embodied CoT Distillation From LLM To Off-the-shelf Agents. - Wonje Choi 003; Woo Kyung Kim; Minjong Yoo; Honguk Woo (ICML, 2024)

Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks. - Donghoon Kim; Minjong Yoo; Honguk Woo (IJCAI, 2024)

Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation. - Woo Kyung Kim; Minjong Yoo; Honguk Woo (IJCAI, 2024)

Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation. - Daehee Lee 001; Minjong Yoo; Woo Kyung Kim; Wonje Choi 003; Honguk Woo (NeurIPS, 2024)

Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following. - Minjong Yoo; Jinwoo Jang; Wei-Jin Park; Honguk Woo (NeurIPS, 2024)

In-Context Policy Adaptation via Cross-Domain Skill Diffusion. - Minjong Yoo; Woo Kyung Kim; Honguk Woo (AAAI, 2025)