Alberto Maria Metelli

New algorithm enhances decision-making in power grid operations using historical data.

This article discusses how Sliding-Window Thompson Sampling addresses decision-making in shifting environments.

Study reveals insights into decision-making under uncertainty through utility learning.

Examining how rested bandits improve decision-making with breaks.