Deep Reinforcement Learning With Application to Air Confrontation Intelligent Decision-Making of Manned/Unmanned Aerial Vehicle Cooperative System

Deep Reinforcement Learning With Application to Air Confrontation Intelligent Decision-Making of Manned/Unmanned Aerial Vehicle Cooperative System

With the development of intelligence in air confrontation, the demand for cooperative engagement of manned/unmanned aerial vehicle (MAV/UAV) is becoming more intense. Deep reinforcement learning (DRL), which combines the abstract representation capability of deep learning (DL) and the optimal decisi...

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Bibliographic Details
Main Authors: Yue Li, Wei Han, Yongqing Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Manned/unmanned aerial vehicle
intelligent decision-making
application of deep reinforcement learning
intention guiding
deep deterministic policy gradient
self-learning
Online Access:https://ieeexplore.ieee.org/document/9056568/

Internet

https://ieeexplore.ieee.org/document/9056568/

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