Daehee Lee

According to our database, Daehee Lee authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

A Recipe for Stable Offline Multi-agent Reinforcement Learning.

Dongsu Lee, Daehee Lee, Amy Zhang

CoRR, March, 2026

2025

Multi-agent Coordination via Flow Matching.

Dongsu Lee, Daehee Lee, Amy Zhang

CoRR, November, 2025

Learning to Interact in World Latent for Team Coordination.

Dongsu Lee, Daehee Lee, Yaru Niu, Honguk Woo, Amy Zhang, Ding Zhao

CoRR, September, 2025

Policy Compatible Skill Incremental Learning via Lazy Learning Interface.

Daehee Lee, Dongsu Lee, TaeYoon Kwack, Wonje Choi, Honguk Woo

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks in Open Domains.

Wonje Choi, Jinwoo Park, Sanghyun Ahn, Daehee Lee, Honguk Woo

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

GCN-Based LSTM Autoencoder with Self-Attention for Bearing Fault Diagnosis.

Daehee Lee, Hyunseung Choo, Jongpil Jeong

Sensors, August, 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

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

Leak Detection and Classification of Water Pipeline Data Using LSTM Auto-Encoder with Xavier Initialization.

Daehee Lee, Hyunseung Choo, Jongpil Jeong

Proceedings of the 8th IEEE/ACIS International Conference on Big Data, 2023