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Ritabrata Dutta

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#reinforcement learning Open access Sep 2026

Prequential posteriors

Abstract Data assimilation is a fundamental task in updating forecasting models upon observing new data, with applications ranging from weather prediction to online reinforcement learning. Deep generative forecasting models (DGFMs) have shown excellent performance in these areas, but assimilating data into such models...

S. Roy, Richard G. Everitt, Christian P. Robert et al. · 0 citations

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