火力与指挥控制2026，Vol.51Issue(1)：12-21,30,11.DOI:10.3969/j.issn.1002-0640.2026.01.002
面向无人集群博弈对抗的多智能体分层决策框架
A Multi-agent Hierarchical Decision-making Framework for Unmanned Swarm in Game-theoretic Adversarial Environments
摘要
Abstract
To address the issues of insufficient multi-agent collaborative decision-making capability and low decision-making credibility of unmanned swarm,a hierarchical decision-making framework is proposed.This framework integrates a high-level behavior decision tree with middle and low-level deep reinforcement learning models to optimize task sequence generation and combat action adjustment strate-gies.By facilitating coordinated planning and multi-objective collaborative control among multiple agents,it enhances the capabilities of global coordination and local adaptation.This method provides theoretical support for the practical application of command decision-making technologies for unmanned swarm.关键词
指挥决策/博弈对抗/无人集群/多智能体/分层决策Key words
command and decision-making/game confrontation/unmanned swarm/multi-agent/hierarchical decision-making分类
军事科技引用本文复制引用
吕世豪,梁文谦,张勇,闫晨蓉,韩贝贝..面向无人集群博弈对抗的多智能体分层决策框架[J].火力与指挥控制,2026,51(1):12-21,30,11.基金项目
国家自然科学基金资助项目 （）
