Multiagent Reinforcement Learning-Based Semi-Persistent Scheduling Scheme in C-V2X Mode 4-Reference-Cited by-同舟云学术

Multiagent Reinforcement Learning-Based Semi-Persistent Scheduling Scheme in C-V2X Mode 4

Author:

Gu Bo¹^ORCID,Chen Weixiang¹^ORCID,Alazab Mamoun²^ORCID,Tan Xiaojun¹^ORCID,Guizani Mohsen³^ORCID

Affiliation:

1. School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China

2. College of Engineering, IT, Environment, Charles Darwin University, Casuarina, Australia

3. Department of Machine Learning, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

Reference51 articles.

5. Actor-attention-critic for multi-agent reinforcement learning;iqbal;Proc 36th Int Conf Mach Learn,0

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