UAV Swarm Rounding Strategy Based on Deep Reinforcement Learning Goal Consistency with Multi-Head Soft Attention Algorithm

UAV Swarm Rounding Strategy Based on Deep Reinforcement Learning Goal Consistency with Multi-Head Soft Attention Algorithm

Aiming at the problem of target rounding by UAV swarms in complex environments, this paper proposes a goal consistency reinforcement learning approach based on multi-head soft attention (GCMSA). Firstly, in order to make the model closer to reality, the reward function when the target is at differen...

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Bibliographic Details
Main Authors: Zhaotian Wei, Ruixuan Wei
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Drones
Subjects:
UAV swarms
roundup strategy
deep reinforcement learning
GCMSA
Online Access:https://www.mdpi.com/2504-446X/8/12/731
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