A Deep Reinforcement Learning-Based Cooperative Guidance Strategy Under Uncontrollable Velocity Conditions

A Deep Reinforcement Learning-Based Cooperative Guidance Strategy Under Uncontrollable Velocity Conditions

We present a novel approach to generating a cooperative guidance strategy using deep reinforcement learning to address the challenge of cooperative multi-missile strikes under uncontrollable velocity conditions. This method employs the multi-agent proximal policy optimization (MAPPO) algorithm to co...

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Bibliographic Details
Main Authors: Hao Cui, Ke Zhang, Minghu Tan, Jingyu Wang
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Aerospace
Subjects:
uncontrollable velocity
cooperative guidance
MAPPO
curriculum learning
Online Access:https://www.mdpi.com/2226-4310/12/5/411
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