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#machine learning Preprint Sep 2026

Last-Iterate Guarantees for Online Reinforcement Learning in Structured Constrained MDPs

This work develops a general, statistically efficient framework for last-iterate convergence in structured Constrained MDPs (CMDPs), and validate the stabilising effect predicted by the theory on a synthetic linear CMDP: the regularised method exhibits stable last-iterate behaviour, whereas its unregularised counterpar...

Nam Phuong Tran, Trinh Ha Mai Huynh, T. P. Le et al. · 0 citations
#artificial intelligence Preprint Sep 2026

OOD Generalization as a Bifurcation Problem

This work identifies the semantic bifurcation window - the precise temporal interval where joint and decomposed vector fields meaningfully diverge - and proposes surgical guidance, a hybrid sampling strategy that restricts exact multi-pass scoring strictly to this critical window.

N. Đoàn, Q. Nguyen, T. Le et al. · 0 citations

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