Deep Reinforcement Learning-Based Resource Management for Flexible Mobile Edge Computing: Architectures, Applications, and Research Issues-Reference-Cited by-同舟云学术

Deep Reinforcement Learning-Based Resource Management for Flexible Mobile Edge Computing: Architectures, Applications, and Research Issues

Author:

Wang Kezhi¹,Wang Liang²,Pan Cunhua³,Ren Hong³

Affiliation:

1. Department of Computer and Information Sciences, Northumbria University, Newcastle, U.K.

2. School of Aerospace, Transport and Manufacturing, Cranfield University, Cranfield, U.K.

3. National Mobile Communications Research Lab, Southeast University, Nanjing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Automotive Engineering

Link

Reference15 articles.

1. Preference conditioned neural multi-objective combinatorial optimization;lin;Proc Int Conf Learning Representations,0

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