75 citations · 176 across the 19 of their papers we have counts for
1 paper · 1 filter
Jonathan Cuevas, Ryugo Iwami, Atsushi Uchida +2
The Multi-Armed Bandit (MAB) problem, foundational to reinforcement learning-based decision-making, addresses the challenge of maximizing rewards amidst multiple uncertain choices.…