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I. van der Werf

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#machine learning Preprint Sep 2026

A Contraction Framework for Stochastic Operators with Bootstrapping: Application to TD Learning

Many iterative algorithms rely on bootstrapping. A variable is updated using a second, frozen copy as a target, which is periodically replaced with the updated variable. Majorize-minimize and inexact proximal-point methods share this structure, as does temporal-difference (TD) learning. However, existing convergence gu...

I. van der Werf, Sergio Rozada, Antonio G. Marques · 0 citations