Neural-network-based learning algorithms for cooperative games of discrete-time multi-player systems with control constraints via adaptive dynamic programming

Adaptive dynamic programming (ADP), an important branch of reinforcement learning, is a powerful tool in solving various optimal control problems. However, the cooperative game issues of discrete-time multi-player systems with control constraints have rarely been investigated in this field. In order...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 344; s. 13 - 19
Hlavní autori:	Jiang, He, Zhang, Huaguang, Xie, Xiangpeng, Han, Ji
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 07.06.2019
Predmet:	Adaptive dynamic programming Approximate dynamic programming Neural networks Reinforcement learning Approximate dynamic programming Adaptive dynamic programming Neural networks Reinforcement learning
ISSN:	0925-2312, 1872-8286
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