| Swarm inverse reinforcement learning for biological systems X Yu, W Wu, P Feng, Y Tian 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 21 | 2021 |
| Attacking cooperative multi-agent reinforcement learning by adversarial minority influence S Li, J Guo, J Xiu, Y Zheng, P Feng, X Yu, A Liu, Y Yang, B An, W Wu, ... arXiv preprint arXiv:2302.03322, 2023 | 18 | 2023 |
| Graphrare: Reinforcement learning enhanced graph neural network with relative entropy T Peng, W Wu, H Yuan, Z Bao, Z Pengru, X Yu, X Lin, Y Liang, Y Pu 2024 IEEE 40th International Conference on Data Engineering (ICDE), 2489-2502, 2024 | 10 | 2024 |
| Byzantine robust cooperative multi-agent reinforcement learning as a bayesian game S Li, J Guo, J Xiu, R Xu, X Yu, J Wang, A Liu, Y Yang, X Liu ICLR 2024, 2023 | 10 | 2023 |
| Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning X Yu, R Shi, P Feng, Y Tian, S Li, S Liao, W Wu Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 17583 …, 2024 | 8 | 2024 |
| Esp: Exploiting symmetry prior for multi-agent reinforcement learning X Yu, R Shi, P Feng, Y Tian, J Luo, W Wu ECAI 2023, 2946-2953, 2023 | 7 | 2023 |
| Mact: Multi-agent collision avoidance with continuous transition reinforcement learning via mixup P Feng, X Yu, J Liang, W Wu, Y Tian International Conference on Swarm Intelligence, 74-85, 2023 | 6 | 2023 |
| 微服务时代的复杂服务软件开发 吴文峻， 于鑫， 蒲彦均 计算机科学 47 (12), 11-17, 2020 | 4 | 2020 |
| Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks P Feng, J Liang, S Wang, X Yu, X Ji, Y Chen, K Zhang, R Shi, W Wu 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024 | 3 | 2024 |
| Adaptaug: Adaptive data augmentation framework for multi-agent reinforcement learning X Yu, Y Tian, L Wang, P Feng, W Wu, R Shi 2024 IEEE International Conference on Robotics and Automation (ICRA), 10814 …, 2024 | 3 | 2024 |
| Safe and efficient multi-agent collision avoidance with physics-informed reinforcement learning P Feng, R Shi, S Wang, J Liang, X Yu, S Li, W Wu IEEE Robotics and Automation Letters, 2024 | 2 | 2024 |
| Exploiting Hierarchical Symmetry in Multi-Agent Reinforcement Learning Y Tian, X Yu, Y Qi, L Wang, P Feng, W Wu, R Shi, J Luo ECAI 2024, 2202-2209, 2024 | | 2024 |
| 基于群体熵的机器人群体智能汇聚度量 冯埔， 吴文峻， 罗杰， 于鑫， 田雍恺 智能科学与技术学报 4 (1), 65-74, 2022 | | 2022 |