<p><p>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 result
Deep Reinforcement Learning for Wireless Networks
โ Scribed by F. Richard Yu; Ying He
- Tongue
- English
- Series
- SpringerBriefs in Electrical and Computer Engineering
- Edition
- 1st ed. 2019
- Category
- Library
No coin nor oath required. For personal study only.
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