Discrete Action Matching: Learning Stochastic Dynamics from Samples via State Graphs.

arXiv:2610.05071v1 Announce Type: cross Abstract: Learning population dynamics from unpaired temporal marginals is an ill-posed inverse problem that requires structural assumptions on the underlying dynamics. We introduce $\textit{Discrete Action Matching}$ (D