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Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings.

Authors :
Ye, Deheng
Chen, Guibin
Zhao, Peilin
Qiu, Fuhao
Yuan, Bo
Zhang, Wen
Chen, Sheng
Sun, Mingfei
Li, Xiaoqian
Li, Siqin
Liang, Jing
Lian, Zhenjie
Shi, Bei
Wang, Liang
Shi, Tengfei
Fu, Qiang
Yang, Wei
Huang, Lanxiao
Source :
IEEE Transactions on Neural Networks & Learning Systems; Mar2022, Vol. 33 Issue 3, p908-918, 11p
Publication Year :
2022

Abstract

We present JueWu-SL, the first supervised-learning-based artificial intelligence (AI) program that achieves human-level performance in playing multiplayer online battle arena (MOBA) games. Unlike prior attempts, we integrate the macro-strategy and the micromanagement of MOBA-game-playing into neural networks in a supervised and end-to-end manner. Tested on Honor of Kings, the most popular MOBA at present, our AI performs competitively at the level of High King players in standard 5v5 games. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2162237X
Volume :
33
Issue :
3
Database :
Complementary Index
Journal :
IEEE Transactions on Neural Networks & Learning Systems
Publication Type :
Periodical
Accession number :
155696512
Full Text :
https://doi.org/10.1109/TNNLS.2020.3029475