| Q-greedyUCB: A new exploration policy to learn resource-efficient scheduling Y Zhao, J Lee, W Chen China Communications 18 (6), 12-23, 2021 | 9 | 2021 |
| Multi-agent reinforcement learning for a random access game D Lee, Y Zhao, JB Seo, J Lee IEEE Transactions on Vehicular Technology 71 (8), 9119-9124, 2022 | 3 | 2022 |
| A reinforcement learning based low-delay scheduling with adaptive transmission Y Zhao, J Lee 2019 International Conference on Information and Communication Technology …, 2019 | 3 | 2019 |
| Reinforcement learning for random access in multi-cell networks D Lee, Y Zhao, J Lee 2021 International Conference on Artificial Intelligence in Information and …, 2021 | 2 | 2021 |
| Q-greedyUCB: a New Exploration Policy for Adaptive and Resource-efficient Scheduling Y Zhao, J Lee, W Chen arXiv preprint arXiv:2006.05902, 2020 | 2 | 2020 |
| Multi-agent deep reinforcement learning for cross-layer scheduling in mobile ad-hoc networks X Zheng, Y Zhao, J Lee, W Chen China Communications 20 (8), 78-88, 2023 | 1 | 2023 |
| Multi-Agent Reinforcement Learning for a Multichannel Uplink Random Access: Congestion Game Perspective Y Zhao, J Lee, JB Seo 2023 12th International Conference on Awareness Science and Technology …, 2023 | | 2023 |
| SOQ: Structural Reinforcement Learning for Constrained Delay Minimization With Channel State Information Y Zhao, Y Kim, J Lee IEEE Internet of Things Journal, 2023 | | 2023 |
| NOMA-based Random Access: Multi-Agent Reinforcement Learning Method Y Zhao, JB Seo, J Lee 한국통신학회, 2023 | | 2023 |
| 다중 안테나 기술에서의 딥러닝 기반 직교 진폭 변조 디코더 이동우， 자오유， 이주현 한국통신학회, 2021 | | 2021 |
