Decentralized End-to-End Multi-AAV Pursuit Using Predictive Spatio-Temporal Observation via Deep Reinforcement Learning
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Source paper: Decentralized End-to-End Multi-AAV Pursuit Using Predictive Spatio-Temporal Observation via Deep Reinforcement Learning
PDF: https://arxiv.org/pdf/2603.24238v1
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Coverage: 17%
Last proof check: 2026-04-02T02:30:40.136Z
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Decentralized End-to-End Multi-AAV Pursuit Using Predictive Spatio-Temporal Observation via Deep Reinforcement Learning
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Coverage: 17%
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Yude Li
Harbin Institute of Technology, Shenzhen, Guangdong, China
Zhexuan Zhou
Harbin Institute of Technology, Shenzhen, Guangdong, China
Huizhe Li
Harbin Institute of Technology, Shenzhen, Guangdong, China
Yanke Sun
Harbin Institute of Technology, Shenzhen, Guangdong, China
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