指挥控制与仿真2024，Vol.46Issue(2)：18-23,6.DOI:10.3969/j.issn.1673-3819.2024.02.003
一种基于生成对抗模仿学习的作战决策方法
A decision-making method based on generative adversarial imitation learning
摘要
Abstract
To study the intelligent decision making methods under limited decision samples,aiming at the problems that op-erational decision-making experience is difficult to express and the training samples for intelligent decision learning are limit-ed,based on the joint operational simulation and drill environment,a decision-making method based on generative adversari-al imitation learning is proposed.This method integrates the operational decision-making experience representation and learn-ing process.On the basis of high-level decision-making and low-level action,rule definitions are used to specify the logic of task execution,and generative adversarial imitation learning algorithms are utilized to improve the generalization ability of in-telligent agents in scenarios.This method achieved expected results in the constructed typical adversarial scenarios.The algo-rithm training converged and the decisions output by the intelligent agent are reasonable.Preliminary experimental results in-dicate that generative adversarial imitation learning,as an intelligent operational decision-making method,has value for fur-ther research.关键词
智能决策/作战决策/基于规则的方法/生成对抗模仿学习Key words
intelligent decision-making/operational decision-making/rule-based method/generative adversarial imitation learning分类
军事科技引用本文复制引用
李东,许霄,吴琳..一种基于生成对抗模仿学习的作战决策方法[J].指挥控制与仿真,2024,46(2):18-23,6.基金项目
国家自然科学基金(62006235) （62006235）
