Task assignment in ground-to-air confrontation based on multiagent deep reinforcement learning

The scale of ground-to-air confrontation task assignments is large and needs to deal with many concurrent task assignments and random events. Aiming at the problems where existing task assignment methods are applied to ground-to-air confrontation, there is low efficiency in dealing with complex task...

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Bibliographic Details

Published in:	Defence Technology
Main Authors:	Jia-yi Liu, Gang Wang, Qiang Fu, Shao-hua Yue, Si-yuan Wang
Format:	Article
Language:	English
Published:	KeAi Communications Co., Ltd. 2023-01-01
Subjects:	Ground-to-air confrontation Task assignment General and narrow agents Deep reinforcement learning Proximal policy optimization (PPO)
Online Access:	http://www.sciencedirect.com/science/article/pii/S2214914722000678