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Deep Reinforcement Learning for Wireless Networks
This Springerbrief presents a deep reinforcement learning approach to wireless systems to improve system performance. Particularly, deep reinforcement learning approach is used in cache-enabled opportunistic interference alignment wireless networks and mobile social networks. Simulation results with...
Main Authors: | , |
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Corporate Author: | |
Format: | e-Book |
Language: | English |
Published: |
Cham :
Springer International Publishing :
2019.
Imprint: Springer, |
Edition: | 1st ed. 2019. |
Series: | SpringerBriefs in Electrical and Computer Engineering,
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Subjects: | |
Online Access: | Full-text access |
Internet
Full-text accessMerkez Kütüphane
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