Search Results for author: Francisco Robledo Relaño

Found 1 papers, 0 papers with code

Tabular and Deep Learning for the Whittle Index

no code implementations4 Jun 2024 Francisco Robledo Relaño, Vivek Borkar, Urtzi Ayesta, Konstantin Avrachenkov

The Whittle index policy is a heuristic that has shown remarkably good performance (with guaranteed asymptotic optimality) when applied to the class of problems known as Restless Multi-Armed Bandit Problems (RMABPs).

Deep Learning Q-Learning

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