| 7 | Reinforcement Learning-Based MAS Interception in Antagonistic Environments显示文摘Dear Editor, As a promising multi-agent systems(MASs) operation, autonomous interception has attracted more and more attentions in these years, where defenders prevent intruders from reaching destinations.So far, most of the relevant methods are applied in ideal environments without agent damages. As a remedy, this letter proposes a more realistic interception method for MASs suffered by damages. | Siqing Sun Defu Cai Hai-Tao Zhang Ning Xing | 2024 | IEEE/CAA Journal of Automatica Sinica2024，11，1： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员