| Multi-Agent Actor-Critic with Hierarchical Graph Attention Network. H Ryu, H Shin, J Park Proceedings of the AAAI Conference on Artificial Intelligence 34, 7236-7243, 2020 | 116 | 2020 |
| Classification of heart sound recordings using convolution neural network H Ryu, J Park, H Shin 2016 Computing in Cardiology Conference (CinC), 1153-1156, 2016 | 64 | 2016 |
| Does Adam Optimizer Keep Close to the Optimal Point? K Bae, H Ryu, H Shin Beyond First Order Methods in ML Workshop in NeurIPS 2019, 2019 | 31 | 2019 |
| Multi-Agent Actor-Critic with Generative Cooperative Policy Network H Ryu, H Shin, J Park arXiv preprint arXiv:1810.09206, 2018 | 17 | 2018 |
| Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning H Ryu, H Shin, J Park Proceedings of the 20th International Conference on Autonomous Agents and …, 2021 | 8 | 2021 |
| REMAX: Relational Representation for Multi-Agent Exploration H Ryu, H Shin, J Park Proceedings of the 21st International Conference on Autonomous Agents and …, 2022 | 6 | 2022 |
| Energy storage control based on user clustering and battery capacity allocation H Ryu, Y Jung, J Park 2017 IEEE Power & Energy Society General Meeting, 1-5, 2017 | 6 | 2017 |
| Training and Exploration Using Agent Relationship for Multi-Agent Reinforcement Learning H Ryu Korea Advanced Institute of Science and Technology (KAIST), 2021 | | 2021 |
| Learning to Select: Problem, Solution, and Applications H Ryu, D Kim, H Shin | | 2018 |
| Energy Storage System Control Using Deep Reinforcement Learning H Ryu Korea Advanced Institute of Science and Technology (KAIST), 2018 | | 2018 |
Hayong ShinKAIST在 kaist.ac.kr 的电子邮件经过验证
Hayong ShinKAIST在 kaist.ac.kr 的电子邮件经过验证
Jinkyoo ParkDepartment of Industrial and Systems Engineering, KAIST在 kaist.ac.kr 的电子邮件经过验证