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Q. Nguyen

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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
#artificial intelligence Preprint Sep 2026

Artificial intelligences and human scientists exhibit complementary strengths in theory building

We investigate the effectiveness of artificial intelligences (AI)-specifically large language models (LLMs)-relative to human scientists at high-level cognitive tasks in social science such as theory formulation, predictions of novel empirical results, and theory revision in response to new evidence. The research domai...

Ke Li, S. Zoumpoulis, P. Puranam et al. · 0 citations

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