Data‐Driven Stochastic Game Theoretic Differential Dynamic Programming

ABSTRACT This paper introduces a novel approach for designing optimal control using data‐driven Stochastic Game Theoretic Differential Dynamic Programming (SGT‐DDP). The proposed method addresses unknown stochastic systems by approximating both drift and diffusion dynamics. The drift dynamics is est...

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Vydané v:	International journal of robust and nonlinear control Ročník 35; číslo 13; s. 5343 - 5354
Hlavní autori:	Sarbaz, Mohammad, Sun, Wei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken, USA John Wiley & Sons, Inc 10.09.2025 Wiley Subscription Services, Inc
Predmet:	Approximation differential dynamic programming Drift estimation Dynamic programming Dynamical systems Game theory Gaussian process gaussian process regression Nonlinear systems Optimal control stochastic dynamics Stochastic systems
ISSN:	1049-8923, 1099-1239
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