{"title":"Cooperative Strike Target Assignment Algorithm Based on Deep Reinforcement Learning","authors":"Weiwei Bian, Chunguang Wang, Kuihua Huang, Yanxiang Jia, Chan Liu, Ying Mi","doi":"10.1109/ICCSI55536.2022.9970699","DOIUrl":null,"url":null,"abstract":"Due to the complexity of the environment and the dynamic change of the target, the relationship between the target and the missile is diversified, with randomness, fuzziness and uncertainty. In order to improve the timeliness of command decisions and the accuracy of interception strategies, a deep reinforcement learning model is constructed to optimize the decision loss function, obtain the optimal target allocation results, and achieve effective coordination of strike firepower. The simulation results show that it is feasible to apply the deep reinforcement learning method to cooperative strike target allocation decision.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSI55536.2022.9970699","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Due to the complexity of the environment and the dynamic change of the target, the relationship between the target and the missile is diversified, with randomness, fuzziness and uncertainty. In order to improve the timeliness of command decisions and the accuracy of interception strategies, a deep reinforcement learning model is constructed to optimize the decision loss function, obtain the optimal target allocation results, and achieve effective coordination of strike firepower. The simulation results show that it is feasible to apply the deep reinforcement learning method to cooperative strike target allocation decision.