MatLab Toolbox for Linear-Quadratic Mean-Field-Type Games: Version I

被引：0
|
作者：
Barreiro-Gomez, Julian [1 ]
Tembine, Hamidou [1 ]
机构：
[1] New York Univ, Learning & Game Theory Lab, Abu Dhabi, U Arab Emirates
来源：
2019 IEEE 4TH COLOMBIAN CONFERENCE ON AUTOMATIC CONTROL (CCAC): AUTOMATIC CONTROL AS KEY SUPPORT OF INDUSTRIAL PRODUCTIVITY | 2019年
关键词：
Mean-field-type games; simulations; MatLab toolbox;
D O I：
10.1109/ccac.2019.8921380
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a MatLab-based toolbox to simulate Linear-Quadratic Mean-Field-Type Games (MFTGs) is presented. The toolbox consists of a first version that considers three different approaches for the one-dimensional case, i.e., Non-Cooperative, Fully-Cooperative and Co-opetitive MFTG scenarios are presented. In order to illustrate the use of the aforementioned tools, several examples are shown and the files corresponding to the developed functions are provided.
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页数：6
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