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Leveraging Q-Learning For Proactive Security Against Adversarial Band Jamming In Wireless Networks
Wireless Networks Are Being Used In Several Applications These Days Such As Large Scale Industries, Chemical Plants, Underground Mines, Disaster Management, Military And Defense Etc. However, Due To The Large Scale Of The Network And Wirele...
TRAFFIC-AWARE CONTENT CACHING FOR VEHICULAR SOCIAL NETWORKS USING DEEP REINFORCEMENT LEARNING
Vehicular Social Networking Is An Emerging Application Of The Internet Of Vehicles (IoV) Which Aims To Achieve Seamless Integration Of Vehicular Networks And Social Networks. However, The Unique Characteristics Of Vehicular Networks, Such A...
CIRCULATED DEEP REINFORCEMENT LEARNING UTILIZING TENSORFLOW
Profound Reinforcement Learning Is The Mix Of Support Learning Calculations With Deep Neural System, Which Had Late Achievement In Learning Confounded Obscure Conditions. The Prepared Model Is A Convolutional Neural System Prepared Utilizin...