现代防御技术2026，Vol.54Issue(1)：73-84,12.DOI:10.3969/j.issn.1009-086x.2026.01.007
基于深度强化学习智能制导的研究思考
Research and Reflection on Intelligent Guidance Based on Deep Reinforcement Learning
郭威 1常远 1程芳 2王清云 2王冲1
作者信息
- 1. 航天科工网络信息发展有限公司,北京 100854
- 2. 北京电子工程总体研究所,北京 100854
- 折叠
摘要
Abstract
In light of the increasingly multidimensional and complex combat environment,the form of warfare has also undergone a profound transformation.With the continuous development of artificial intelligence technology,its influence in various fields keeps growing.This paper provided a comprehensive overview of the principles and evolution of reinforcement learning,and analyzed the application of deep reinforcement learning in the field of intelligent guidance.It further summarized key technologies within intelligent guidance,and based on current research progress,offered a detailed examination of existing challenges and the implications of AI.This analysis aims to provide insights and directions for the advancement of intelligent guidance.关键词
智能制导/深度强化学习/制导律/人工智能/奖励函数Key words
intelligent guidance/deep reinforcement learning/guidance law/artificial intelligence/reward function分类
军事科技引用本文复制引用
郭威,常远,程芳,王清云,王冲..基于深度强化学习智能制导的研究思考[J].现代防御技术,2026,54(1):73-84,12.
