Research on Maneuvering Decision Algorithm Based on Improved Deep Deterministic Policy Gradient

Research on Maneuvering Decision Algorithm Based on Improved Deep Deterministic Policy Gradient

Autonomous maneuvering decisions of unmanned aerial vehicle (UAV) in short-range air combat remain a challenging research topic, and a decision method based on an improved deep deterministic policy gradient (DDPG) is proposed. First, the problem model is improved from the perspective of energy&#...

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Bibliographic Details
Main Authors: Jing Xianyong, Manyi Hou, Gaolong Wu, Zongcheng Ma, Zhongxiang Tao
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Unmanned aerial vehicle (UAV)
maneuvering decision
deep deterministic policy gradient (DDPG)
short-range air combat
reinforcement learning (RL)
Online Access:https://ieeexplore.ieee.org/document/9869808/

Internet

https://ieeexplore.ieee.org/document/9869808/

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