Unverified50% confidenceFactExact time
The multi-armed bandit (MAB) is a classic framework in reinforcement learning and online decision-making, in which a player faces K arms, each arm's reward follows an unknown distribution, and the goal is to minimize cumulative regret.
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10/14/2026
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