MCOL is a particle-based neural operator method that couples value function approximation, intrinsic measure derivatives, and empirical residuals for master equations on probability measures.
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A Measure-Consistent Operator Learning Method for Infinite-Dimensional Master Equations
MCOL is a particle-based neural operator method that couples value function approximation, intrinsic measure derivatives, and empirical residuals for master equations on probability measures.