Deep Reinforcement Learning for Wireless Networks (True)
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- Type E-Books
- Language English
- Total size 10.3 MB
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Infohash : E136BED38F046DB89277200534EF2679D3729D1D
Deep Reinforcement Learning for Wireless Networks (True) 
https://DevCourseWeb.com
English | PDF,EPUB (Both True)| 2019 | 78 Pages | ISBN : 3030105458 | 10.3 MB
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 different network parameters are presented to show the effectiveness of the proposed scheme.
There is a phenomenal burst of research activities in artificial intelligence, deep reinforcement learning and wireless systems. Deep reinforcement learning has been successfully used to solve many practical problems. For example, Google DeepMind adopts this method on several artificial intelligent projects with big data (e.g., AlphaGo), and gets quite good results..
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- 3030105458.epub (7.8 MB)
- 3030105458.pdf (2.5 MB)
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