Multi-agent graphical games with input constraints: an online learning solution

This paper studies an online iterative algorithm for solving discrete-time multi-agent dynamic graphical games with input constraints. In order to obtain the optimal strategy of each agent, it is necessary to solve a set of coupled Hamilton-Jacobi-Bellman (HJB) equations. It is very difficult to sol...

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Veröffentlicht in:	Control theory and technology 2020-05, Vol.18 (2), p.148-159
Hauptverfasser:	Wang, Tianxiang, Wang, Bingchang, Liang, Yong
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Complexity Computational Intelligence Computer & video games Computer simulation Constraints Control Control and Systems Theory Coupling Engineering Game theory Games Iterative algorithms Machine learning Mathematical analysis Mechatronics Multiagent systems Neural networks Optimization Robotics Strategy Systems Theory
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