Wan Ju Kang

QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning

Kyunghwan Son, Dae Woo Kim, Wan Ju Kang et al. · arXiv (Cornell University) · 2019 · 222 citations · Full text

Artificial Intelligence, Mathematical Programming, Multi-agent Reinforcement Learning +16

QTRAN: Learning to Factorize with Transformation for Cooperative\n Multi-Agent Reinforcement Learning

Kyunghwan Son, Dae Woo Kim, Wan Ju Kang et al. · arXiv (Cornell University) · 2019 · 198 citations · Full text

Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study

Soonil Kwon, Joonki Hong, Eue‐Keun Choi et al. · JMIR mhealth and uhealth · 2019 · 84 citations · Full text

LEARNING TO SCHEDULE COMMUNICATION IN MULTI-AGENT REINFORCEMENT LEARNING

Daewoo Kim, Sangwoo Moon, David Earl Hostallero et al. · arXiv (Cornell University) · 2019 · 59 citations · Full text

Artificial Intelligence, Multi-agent Reinforcement Learning, Engineering +14

Reflect, not Regret: Understanding Regretful Smartphone Use with App Feature-Level Analysis

Hyunsung Cho, DaEun Choi, Donghwi Kim et al. · Proceedings of the ACM on Human-Computer Interaction · 2021 · 55 citations · Full text

Engineering, Intervention Tools, Collaborative Networks +22