Abstract: In this paper, we consider the risk-sensitive cost criterion with exponentiated costs for Markov decision processes and develop a model-free policy gradient algorithm in this setting. Unlike ...

ABSTRACT: Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability ...

The digital world we inhabit is structured for engagement … not for truth. That’s a hard pill to swallow, especially for those of us who grew up trusting the authority of the written word, the nightly ...

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In contemporary breeding programs, typically genomic best linear unbiased prediction (gBLUP) models are employed to drive decisions on artificial selection. Experiments are performed to obtain ...

Editor's Note: Spoilers ahead for Silo Season 2.Silo Season 2 ends on a fiery note, and one that leaves many things up in the air for the upcoming Season 3. Among the many questions we have is one ...

We consider Safe Policy Improvement (SPI) in Batch Reinforcement Learning (Batch RL): from a fixed dataset and without direct access to the true environment, train a policy that is guaranteed to ...