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Yu, F. Richard, author
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.
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Switzerland: Springer Nature, 2019
e20507632
eBooks Universitas Indonesia Library
