Qtran: Learning to factorize with transformation for cooperative multi-agent reinforcement learning K Son, D Kim, WJ Kang, DE Hostallero, Y Yi International conference on machine learning, 5887-5896, 2019 | 993 | 2019 |
Learning to schedule communication in multi-agent reinforcement learning D Kim, S Moon, D Hostallero, WJ Kang, T Lee, K Son, Y Yi arXiv preprint arXiv:1902.01554, 2019 | 252 | 2019 |
Deep learning approaches to detect atrial fibrillation using photoplethysmographic signals: algorithms development study S Kwon, J Hong, EK Choi, E Lee, DE Hostallero, WJ Kang, B Lee, ... JMIR mHealth and uHealth 7 (6), e12770, 2019 | 77 | 2019 |
Reflect, not Regret: Understanding Regretful Smartphone Use with App Feature-Level Analysis H Cho, DE Choi, D Kim, WJ Kang, EK Choe, SJ Lee The 24th ACM Conference on Computer-Supported Cooperative Work and Social …, 2021 | 67 | 2021 |
Inducing cooperation through reward reshaping based on peer evaluations in deep multi-agent reinforcement learning DE Hostallero, D Kim, S Moon, K Son, WJ Kang, Y Yi Proceedings of the 19th International Conference on Autonomous Agents and …, 2020 | 19 | 2020 |
Ai-based drone object tracking system: design and implementation D Kim, WJ Kang, YP Koo, JH Bang, KH Son, D Hostallero, SE Yoon, ... The Journal of Korean Institute of Communications and Information Sciences …, 2017 | 11 | 2017 |
Curiosity-driven multi-agent exploration with mixed objectives RD Reyes, K Son, J Jung, WJ Kang, Y Yi arXiv preprint arXiv:2210.16468, 2022 | 3 | 2022 |
XFACT Team0331 at PerspectiveArg2024: Sampling from Bounded Clusters for Diverse Relevant Argument Retrieval WJ Kang, J Han, J Jung, J Thorne Proceedings of the 11th Workshop on Argument Mining (ArgMining 2024), 182-188, 2024 | 1 | 2024 |