This paper focuses on the development of modern intelligent air combat decision-making technology,and analyzes the elements and characteristics of intelligent air combat scenarios.It introduces the research status and practical application of existing intelligent air combat decision-making methods,including decision-making methods based on game theory,prior data-driven decision-making method,and decision-making methods based on autonomous learning,and especially focuses on deep reinforcement learning intelligent decision-making methods based on value and strategy.Finally,facing to various challenges of future intelligent air combat and the limitations of traditional deep rein-forcement learning,the paper gives the future development direction of deep reinforcement learning technology in the field of air combat,which are multi-agent intelligent decision-making technology for cluster warfare,efficient intelligent decision-making technology for wide area space-time,and generalized intelligent decision-making technology for complex scenarios.
关键词
空战决策/人工智能/强化学习/智能博弈/集群作战/深度学习
Key words
air combat decision-making/artificial intelligence/reinforcement learning/intelligent game/cluster warfare/deep learning
维普
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