Research on the Reward Design Method for Deep Reinforcement Learning in WVR Air Combat

Deep reinforcement learning (DRL) can significantly improve the autonomy and effectiveness of air combat maneuver decision (ACMD). The design of reward functions faces significant challenges due to the long duration and large state space of air combat. Most existing methods rely on subjective judgme...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Xin Zhang, Wenhan Dong, Pin Zhang, Dunwang Li
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Deep reinforcement learning entropy weight method reward design sparrow search algorithm within visual range air combat
Online Access:	https://ieeexplore.ieee.org/document/10777032/