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.accessioned | 2024-05-08T01:08:14Z | |
dc.date.available | 2024-05-08T01:08:14Z | |
dc.date.issued | 2023-06-01 | |
dc.date.replied | 2023-05-27 | |
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.abstract | With 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.uri | https://dspace.xmu.edu.cn/handle/2288/211154 | |
dc.language.iso | zh_CN | |
dc.source.uri | https://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.alternative | Research on UAV Cooperative Air Combat Based on Multi-agent Reinforcement Learning | |
dc.type | thesis |
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