Alberto Maria Metelli

A new framework for efficient reinforcement learning in complex environments.

New frameworks enhance decision-making learning from expert behavior.

This framework enhances learning efficiency in complex tasks through hierarchical structures.

Discover efficient methods for identifying the best options in decision-making scenarios.

A new method improves multi-task learning by aggregating targets and features.

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.