Unverified50% confidenceFactExact time
In the multi-armed bandit problem, Thompson Sampling each round samples a value from the Beta posterior distribution of each arm, selects the arm with the largest sampled value to execute, and thereby achieves a balance between exploration and exploitation.
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8/31/2026
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