| 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 | 808 | 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 | 219 | 2019 |
| Rumor source detection under querying with untruthful answers J Choi, S Moon, J Woo, K Son, J Shin, Y Yi IEEE INFOCOM 2017-IEEE Conference on Computer Communications, 1-9, 2017 | 32 | 2017 |
| QTRAN++: improved value transformation for cooperative multi-agent reinforcement learning K Son, S Ahn, RD Reyes, J Shin, Y Yi arXiv preprint arXiv:2006.12010, 2020 | 23* | 2020 |
| 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 | 17 | 2020 |
| Neuro-DCF: Design of wireless MAC via multi-agent reinforcement learning approach S Moon, S Ahn, K Son, J Park, Y Yi Proceedings of the Twenty-second International Symposium on Theory …, 2021 | 13 | 2021 |
| Information source finding in networks: Querying with budgets J Choi, S Moon, J Woo, K Son, J Shin, Y Yi IEEE/ACM Transactions on Networking 28 (5), 2271-2284, 2020 | 12 | 2020 |
| Solving continual combinatorial selection via deep reinforcement learning H Song, H Jang, HH Tran, S Yoon, K Son, D Yun, H Chung, Y Yi arXiv preprint arXiv:1909.03638, 2019 | 12 | 2019 |
| Ai-based drone object tracking system: design and implementation D Kim, WJ Kang, YP Koo, JH Bang, KH Son, D Hostallero, S Yoon, H Yeo, ... The Journal of Korean Institute of Communications and Information Sciences …, 2017 | 12* | 2017 |
| Imitating graph-based planning with goal-conditioned policies J Kim, Y Seo, S Ahn, K Son, J Shin arXiv preprint arXiv:2303.11166, 2023 | 7 | 2023 |
| Disentangling sources of risk for distributional multi-agent reinforcement learning K Son, J Kim, Y Yi, J Shin | 7 | 2021 |
| 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 |
| On the Efficiency of Running Machine Learning Tasks for Drone-Based Target Tracking : Cloud-Based vs. Drone-Based 손경환， 김대우， 방지환， 강완주， 윤세은， 구윤표， 여현호， 하재형， ... 한국통신학회논문지 43 (1), 143-151, 2018 | 1* | 2018 |
| Curiosity-Driven Multi-Agent Exploration with Mixed Objectives R Delos Reyes, K Son, J Jung, WJ Kang, Y Yi arXiv e-prints, arXiv: 2210.16468, 2022 | | 2022 |
| Learning to factorize with regularization for cooperative multi-agent reinforcement learning K Son 한국과학기술원, 2019 | | 2019 |
| Research Trends in Artificial Intelligence Technology for Smart Drones 구윤표， 손경환， 이융 정보과학회지 37 (1), 38-44, 2019 | | 2019 |
| An Implementation of Multi-hop Voice Communication System Using Drones 구윤표， 방지환， 손경환， 신수호， 안수명， 이융， 유정훈， 김재신 한국통신학회 학술대회논문집, 220-221, 2017 | | 2017 |
Yung YiProfessor of Electrical Engineering, KAIST在 kaist.edu 的电子邮件经过验证
