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A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

open access: yesInternational Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam   +2 more
wiley   +1 more source

How Silica Surface Chemistry Modulates Interfacial Water: Insights from Machine Learning Molecular Dynamics. [PDF]

open access: yesACS Appl Mater Interfaces
Pham CH   +6 more
europepmc   +1 more source

Purcell swimmer near a wall. [PDF]

open access: yesMeccanica
Micalizio E   +3 more
europepmc   +1 more source

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