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

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Publication:5143049
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DOI10.1007/s11768-020-0013-6zbMath1463.91026OpenAlexW3033183381MaRDI QIDQ5143049

Tianxiang Wang, Bing-Chang Wang, Yong Liang

Publication date: 14 January 2021

Published in: Control Theory and Technology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11768-020-0013-6


zbMATH Keywords

differential gamesneural networkinput constraintsreinforcement learningactor-critic algorithm


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Differential games (aspects of game theory) (91A23) Games involving graphs (91A43) Rationality and learning in game theory (91A26)


Related Items (3)

Neural network-based adaptive decentralized learning control for interconnected systems with input constraints ⋮ SIMULATION OF FUZZY NEURAL NETWORK ALGORITHM IN DYNAMIC NONLINEAR SYSTEM ⋮ A novel cooperative-competitive differential graphical game with distributed global Nash solution




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