Showing results 1 to 5 of 5
Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study Kwon, Soonil; Hong, Joonki; Choi, Eue-Keun; Lee, Euijae; Hostallero, David Earl; Kang, Wan Ju; Lee, Byunghwan; et al, JMIR MHEALTH AND UHEALTH, v.7, no.6, 2019-06 |
Inducing Cooperation through Reward Reshaping based on Peer Evaluations in Deep Multi-Agent Reinforcement Learning Hostallero, David Earl; Yi, Yung; Kim, Daewoo; Moon, Sangwoo; Son, Kyounghwan; Kang, Wan Ju, ACM AAMAS '20: International Conference on Autonomous Agents and Multiagent Systems, pp.520 - 528, Association for Computing Machinery, Inc, 2020-05-11 |
Learning to Schedule Communication in Multi-agent Reinforcement Learning Kim, Daewoo; Moon, Sangwoo; Hostallero, David; Kang, Wan Ju; Lee, Taeyoung; Son, Kyunghwan; Yi, Yung, ICLR 2019: International Conference on Representation Learning, International Conference on Representation Learning, 2019-05 |
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement learning Son, Kyunghwan; Kim, Daewoo; Kang, Wan Ju; Hostallero, David; Yi, Yung, 36th International Conference on Machine Learning (ICML), International Conference on Machine Learning Organizing Committee, 2019-06 |
Reflect, not Regret: Understanding Regretful Smartphone Use with App Feature-Level Analysis Cho, Hyunsung; Choi, Daeun; Kim, Donghwi; Kang, Wan Ju; Choe, Eun Kyoung; Lee, Sung-Ju, Proceedings of the ACM on Human-Computer Interaction, v.5, no.CSCW2, 2021 |
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