Proactive Load Balancing Through Constrained Policy Optimization for Ultra-Dense Networks-Reference-Cited by-同舟云学术

Proactive Load Balancing Through Constrained Policy Optimization for Ultra-Dense Networks

Published:2022-10 Issue:10 Volume:26 Page:2415-2419
ISSN:1089-7798
Container-title:IEEE Communications Letters
language:
Short-container-title:IEEE Commun. Lett.

Author:

Huang Miaona¹,Chen Jun²^ORCID

Affiliation:

1. School of Electrical Engineering and Intelligentization, Dongguan University of Technology, Dongguan, China

2. Huawei Technologies, Shenzhen, China

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/4234/9915495/09829728.pdf?arnumber=9829728

Reference15 articles.

1. BART: Bayesian additive regression trees;chipman;Ann Appl Statist,2022

2. Bayesian additive regression trees and the General BART model

3. RS-BART: A novel technique to boost the prediction ability of Bayesian additive regression trees;wang;Chinese Journal of Engineering Mathematics,2019

4. Constrained policy optimization;achiam;arXiv 1705 10528,2017

5. A comprehensive survey on safe reinforcement learning;garcía;J Mach Learn Res,2015

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