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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...
| Asıl Yazarlar: | , |
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| Müşterek Yazar: | |
| Materyal Türü: | e-Kitap |
| Dil: | İngilizce |
| Baskı/Yayın Bilgisi: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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| Edisyon: | 1st ed. 2019. |
| Seri Bilgileri: | SpringerBriefs in Electrical and Computer Engineering,
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| Konular: | |
| Online Erişim: | Full-text access OPAC'ta görüntüle |