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Searyoh, P.K
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Deep Reinforcement Learning-based resource allocation strategy for Energy Harvesting-Powered Cognitive Machine-to-Machine Networks
by
Searyoh
,
P.K
,
Tian, Y.-B
,
Xu, Y.-H
,
Yong, Y.-T
,
Yu, G.
Published 2020
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Related Subjects
Attractive solutions
Deep Reinforcement Learning
Deep learning
Energy Harvesting
Energy efficiency
Energy harvesting
Energy utilization
Global network information
Internet of thing (IoTs)
M2M communication
Machine-to-machine (M2M)
Machine-to-machine communication
Markov Decision Processes
Markov processes
Performance degradation
Quality of service
Reinforcement learning
Resource allocation
Resource allocation problem
Resource allocation strategies
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