Tag: ε-greedy algorithm
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Mastering the Multi-Armed Bandit Problem: A Simple Guide to Winning the “Explore vs. Exploit” Game
The multi-armed bandit (MAB) problem is a classic concept in mathematics and computer science with applications that span online marketing, clinical trials, and decision-making. At its core, MAB tackles the issue of choosing between multiple options (or “arms”) that each have uncertain rewards, aiming to find a balance between exploring new options and sticking with…