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Multi-Agent Reinforcement Learning for Adaptive User Association in
  Dynamic mmWave Networks

Multi-Agent Reinforcement Learning for Adaptive User Association in Dynamic mmWave Networks

16 June 2020
Mohamed Sana
A. De Domenico
Wei Yu
Y. Lostanlen
Emilio Calvanese Strinati
ArXivPDFHTML

Papers citing "Multi-Agent Reinforcement Learning for Adaptive User Association in Dynamic mmWave Networks"

3 / 3 papers shown
Title
Multi-Agent Q-Learning for Real-Time Load Balancing User Association and Handover in Mobile Networks
Multi-Agent Q-Learning for Real-Time Load Balancing User Association and Handover in Mobile Networks
Alireza Alizadeh
Byungju Lim
Mai Vu
32
4
0
31 Dec 2024
Large Vision Model-Enhanced Digital Twin with Deep Reinforcement Learning for User Association and Load Balancing in Dynamic Wireless Networks
Large Vision Model-Enhanced Digital Twin with Deep Reinforcement Learning for User Association and Load Balancing in Dynamic Wireless Networks
Zhenyu Tao
Wei Xu
Xiaohu You
34
1
0
10 Oct 2024
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled
  Wireless Networks: A Tutorial
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial
Amal Feriani
Ekram Hossain
35
237
0
06 Nov 2020
1