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Deep Reinforcement Learning and Permissioned Blockchain for Content
  Caching in Vehicular Edge Computing and Networks
v1v2 (latest)

Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks

17 November 2020
Yueyue Dai
Du Xu
Kecheng Zhang
Sabita Maharjan
Yan Zhang
ArXiv (abs)PDFHTML

Papers citing "Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks"

4 / 4 papers shown
Title
Reliable Federated Learning for Mobile Networks
Reliable Federated Learning for Mobile Networks
Jiawen Kang
Zehui Xiong
Dusit Niyato
Y. Zou
Yang Zhang
Mohsen Guizani
FedML
50
463
0
14 Oct 2019
Towards Secure Blockchain-enabled Internet of Vehicles: Optimizing
  Consensus Management Using Reputation and Contract Theory
Towards Secure Blockchain-enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory
Jiawen Kang
Zehui Xiong
Dusit Niyato
Dongdong Ye
Dong In Kim
Jun Zhao
55
475
0
22 Sep 2018
Block4Forensic: An Integrated Lightweight Blockchain Framework for
  Forensics Applications of Connected Vehicles
Block4Forensic: An Integrated Lightweight Blockchain Framework for Forensics Applications of Connected Vehicles
Mumin Cebe
Enes Erdin
Kemal Akkaya
Hidayet Aksu
Selcuk Uluagac
33
253
0
02 Feb 2018
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
320
13,248
0
09 Sep 2015
1