<ul><li>The concept of the Multi-Armed Bandit (MAB) problem revolves around decision-making under uncertainty.</li><li>In the MAB framework, the decision-maker has limited or no information about the rewards associated with each action.</li><li>The challenge is to balance exploration and exploitation to maximize cumulative rewards over time.</li><li>Various algorithms have been developed to address the MAB problem, offering efficient solutions in real-world applications.</li></ul>

The Multi-Armed Bandit Problem

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