基于多智能体强化学习的无人机协同空战研究

dc.contributor.advisor罗德林
dc.contributor.author龚资浩
dc.date.accessioned2024-05-08T01:08:14Z
dc.date.available2024-05-08T01:08:14Z
dc.date.issued2023-06-01
dc.date.replied2023-05-27
dc.description.abstract随着人工智能技术的不断发展,多智能体强化学习方法已成为解决多智能体决策问题的重要手段。在未来无人机智能化协同空战技术的发展中,多智能体强化学习技术将具有重要的应用价值。本文以无人机协同空战决策为应用背景,以多智能体强化学习技术为智能化手段,对二维和三维环境下无人机协同空战决策问题、三维环境下无人机协同战术截击问题进行了探索研究,本文主要工作如下: (1)针对无人机二维协同空战机动决策问题,构建了一种基于多智能体强化学习理论的协同机动决策方法。首先,建立了无人机二维多机近距空战博弈对抗环境,然后将独立Q学习(IndependentQ-Learning,IQL)算法与空战态势专家空战奖励函数相结...
dc.description.abstractWith the continuous development of artificial intelligence technology, multi-agent reinforcement learning has become an essential approach to solving multi-agent decision-making problems. In developing intelligent, cooperative air combat technology for unmanned aerial vehicles (UAVs) in the future, multi-agent reinforcement learning technology will have significant application value. This paper ex...
dc.description.note学位:工程硕士专业学位
dc.description.note院系专业:航空航天学院_机械
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/211154
dc.language.isozh_CN
dc.source.urihttps://etd.xmu.edu.cn/detail.asp?serial=2FC31474-CB6C-4102-877D-6D5D2C27C788
dc.title基于多智能体强化学习的无人机协同空战研究
dc.title.alternativeResearch on UAV Cooperative Air Combat Based on Multi-agent Reinforcement Learning
dc.typethesis

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