A Deep Reinforcement Learning-Based Intelligent Maneuvering Strategy for the High-Speed UAV Pursuit-Evasion Game

A Deep Reinforcement Learning-Based Intelligent Maneuvering Strategy for the High-Speed UAV Pursuit-Evasion Game

Given the rapid advancements in kinetic pursuit technology, this paper introduces an innovative maneuvering strategy, denoted as LSRC-TD3, which integrates line-of-sight (LOS) angle rate correction with deep reinforcement learning (DRL) for high-speed unmanned aerial vehicle (UAV) pursuit–evasion (P...

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Bibliographic Details
Main Authors: Tian Yan, Can Liu, Mengjing Gao, Zijian Jiang, Tong Li
Format: Article
Language:English
Published: MDPI AG 2024-07-01
Series:Drones
Subjects:
pursuit–evasion game
line-of-sight angle rate
high-speed UAV
deep reinforcement learning
Online Access:https://www.mdpi.com/2504-446X/8/7/309

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https://www.mdpi.com/2504-446X/8/7/309

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