| 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 | 11 | 2021 |
| Attacking cooperative multi-agent reinforcement learning by adversarial minority influence S Li, J Guo, J Xiu, P Feng, X Yu, A Liu, W Wu, X Liu arXiv preprint arXiv:2302.03322, 2023 | 8 | 2023 |
| Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game S Li, J Guo, J Xiu, X Yu, J Wang, A Liu, Y Yang, X Liu arXiv preprint arXiv:2305.12872, 2023 | 3 | 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 | 2 | 2023 |
| 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, 0 | 1* | |
| 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 | | 2024 |
| GCMA: An Adaptive Multi-Agent Reinforcement Learning Framework With Group Communication for Complex and Similar Tasks Coordination K Peng, T Ma, X Yu, H Rong, Y Qian, N Al-Nabhan IEEE Transactions on Games, 2023 | | 2023 |
| GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy T Peng, W Wu, H Yuan, Z Bao, Z Pengrui, X Yu, X Lin, Y Liang, Y Pu arXiv preprint arXiv:2312.09708, 2023 | | 2023 |
| 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 |
