Applications of Multi-Agent Reinforcement Learning in Future Internet: A Comprehensive Survey

• Published in: IEEE Communications surveys and tutorials Vol. 24; no. 2; pp. 1240 - 1279
• Main Authors: Li, Tianxu, Zhu, Kun, Luong, Nguyen Cong, Niyato, Dusit, Wu, Qihui, Zhang, Yang, Chen, Bing
• Format: Journal Article
• Language: English
• Published: IEEE 01.01.2022
• Subjects: Decision making; Deep learning; future Internet; Internet of Things; Internet technologies; Markov processes; Multi-agent reinforcement learning; network access; network security; packet routing; Power control; Reinforcement learning; task offloading; Tutorials

Future Internet involves several emerging technologies such as 5G and beyond 5G networks, vehicular networks, unmanned aerial vehicle (UAV) networks, and Internet of Things (IoTs). Moreover, the future Internet becomes heterogeneous and decentralized with a large number of involved network entities....