Deep Reinforcement Learning for Target Searching in Cognitive Electronic Warfare

Deep Reinforcement Learning for Target Searching in Cognitive Electronic Warfare

The recent appreciation of deep reinforcement learning (DRL) arises from its successes in many domains, but the applications of DRL in practical engineering are still unsatisfactory, including optimizing control strategies in cognitive electronic warfare (CEW). CEW is a massive and challenging proje...

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Bibliographic Details
Main Authors: Shixun You, Ming Diao, Lipeng Gao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Deep reinforcement learning
cognitive electronic warfare
motion planning
deep deterministic policy gradient
variational Bayesian estimation
target searching
Online Access:https://ieeexplore.ieee.org/document/8668391/

Internet

https://ieeexplore.ieee.org/document/8668391/

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