Simulate and Compare Multi-Armed Bandit Strategies

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Quick Overview

Compare epsilon-greedy, UCB1, and Thompson sampling in a reproducible Bernoulli bandit simulation with reward, pseudo-regret, and repeated-run uncertainty.

Simulate and Compare Multi-Armed Bandit Strategies

Company: Wayfair

Role: Applied Scientist

Category: Machine Learning

Difficulty: medium

Interview Round: Onsite

Overview: Compare epsilon-greedy, UCB1, and Thompson sampling in a reproducible Bernoulli bandit simulation with reward, pseudo-regret, and repeated-run uncertainty.

Read the full Wayfair Applied Scientist interview experience this question came from

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Wayfair
Sep 10, 2026
mediumApplied ScientistOnsiteMachine Learning
3
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