Game Theory-Based Control System Algorithms with Real-Time Reinforcement Learning HOW TO SOLVE MULTIPLAYER GAMES ONLINE

被引：126
|
作者：
Vamvoudakis, Kyriakos G. [1 ]
Modares, Hamidreza [2 ]
Kiumarsi, Bahare [3 ]
Lewis, Frank L. [4 ,5 ]
机构：
[1] Virginia Tech, Dept Aerosp & Ocean Engn, Blacksburg, VA 24061 USA
[2] Missouri Univ Sci & Technol, Rolla, MO USA
[3] Univ Texas Arlington, Arlington, TX 76019 USA
[4] Univ Texas Arlington, Res Inst, Ft Worth, TX USA
[5] Northeastern Univ, Shenyang, Peoples R China
来源：
IEEE CONTROL SYSTEMS MAGAZINE | 2017年 / 37卷 / 01期
关键词：
OPTIMAL TRACKING CONTROL; ZERO-SUM GAMES; STACKELBERG STRATEGY; FEEDBACK; EQUATION;
D O I：
10.1109/MCS.2016.2621461
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Complex human-engineered systems involve an interconnection of multiple decision makers (or agents) whose collective behavior depends on a compilation of local decisions that are based on partial information about each other and the state of the environment [1]-[4]. Strategic interactions among agents in these systems can be modeled as a multiplayer simultaneous-move game [5]-[8]. The agents involved can have conflicting objectives, and it is natural to make decisions based upon optimizing individual payoffs or costs. © 2016 IEEE.
引用
收藏
页码：33 / 52
页数：20
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