Multi-agent Actor-Critic Reinforcement Learning Based In-network Load Balance

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Original language	English
Title of host publication	IEEE
Pages	1-6
Publication status	Published - Dec 2020
Event	IEEE Global Communications Conference (GLOBECOM) - Taipei, Taiwan Duration: 7 Dec 2020 → 11 Dec 2020 https://globecom2020.ieee-globecom.org/

Conference	IEEE Global Communications Conference (GLOBECOM)
Country/Territory	Taiwan
City	Taipei
Period	7/12/20 → 11/12/20
Internet address	https://globecom2020.ieee-globecom.org/

Cite this

@inproceedings{03d20acdb8bd43f7926a9afafa82f4f5,

title = "Multi-agent Actor-Critic Reinforcement Learning Based In-network Load Balance",

author = "Tianle Mai and Haipeng Yao and Zehui Xiong and Song Guo and Dusit Niyato",

year = "2020",

month = dec,

language = "English",

pages = "1--6",

booktitle = "IEEE",

note = "IEEE Global Communications Conference (GLOBECOM) ; Conference date: 07-12-2020 Through 11-12-2020",

url = "https://globecom2020.ieee-globecom.org/",

}

TY - GEN

T1 - Multi-agent Actor-Critic Reinforcement Learning Based In-network Load Balance

AU - Mai, Tianle

AU - Yao, Haipeng

AU - Xiong, Zehui

AU - Guo, Song

AU - Niyato, Dusit

PY - 2020/12

Y1 - 2020/12

M3 - Conference article published in proceeding or book

SP - 1

EP - 6

BT - IEEE

T2 - IEEE Global Communications Conference (GLOBECOM)

Y2 - 7 December 2020 through 11 December 2020

ER -