Minjong Yoo

According to our database, Minjong Yoo authored at least 16 papers between 2019 and 2026.

Collaborative distances:

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

2026

Test-Time Mixture of World Models for Embodied Agents in Dynamic Environments.

Jinwoo Jang, Minjong Yoo, Sihyung Yoon, Honguk Woo

CoRR, January, 2026

2025

World Model Implanting for Test-time Adaptation of Embodied Agents.

Minjong Yoo, Jinwoo Jang, Sihyung Yoon, Honguk Woo

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

Minjong Yoo, Woo Kyung Kim, Honguk Woo

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following.

Minjong Yoo, Jinwoo Jang, Wei-Jin Park, Honguk Woo

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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 37: 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

Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks.

Donghoon 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

Model Adaptation for Time Constrained Embodied Control.

Jaehyun Song, Minjong Yoo, Honguk Woo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation.

Sangwoo Shin, Minjong Yoo, Jeongwoo Lee, Honguk Woo

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

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

Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning.

Minjong Yoo, Sangwoo Cho, Honguk Woo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Structure Learning-Based Task Decomposition for Reinforcement Learning in Non-stationary Environments.

Honguk Woo, Gwangpyo Yoo, Minjong Yoo

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

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

2019

Resource-Efficient Sensor Data Management for Autonomous Systems Using Deep Reinforcement Learning.

Seunghwan Jeong, Gwangpyo Yoo, Minjong Yoo, Ikjun Yeom, Honguk Woo

Sensors, 2019