Neural Fictitious Self-Play for Radar Antijamming Dynamic Game With Imperfect Information
Author:
Affiliation:
1. National Laboratory of Radar Signal Processing, Xidian University, Xian, China
2. Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen, China
3. Research Academy of Rocket, Beijing, China
Funder
Fund for Foreign Scholars in University Research and Teaching Programs
Shaanxi Innovation Team Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Aerospace Engineering
Link
http://xplorestaging.ieee.org/ielx7/7/9970423/09775208.pdf?arnumber=9775208
Reference46 articles.
1. Dueling network architectures for deep reinforcement learning;wang;Proc 33nd Int Conf Mach Learn,0
2. Deep reinforcement learning from self-play in imperfect-information games;heinrich;Proc Adv Neural Inf Process Syst Workshop,0
3. Non-cooperative games;nash;Ann Math,1990
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