Practice - Thompson Sampling - 9.9.3.3
Practice Questions
Test your understanding with targeted questions
What is Thompson Sampling?
💡 Hint: Think of its relation to probabilities and rewards.
Define regret in the context of decision-making.
💡 Hint: What do we lose by not having the best possible choice?
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does Thompson Sampling aim to optimize in Multi-Armed Bandit problems?
💡 Hint: What is the ultimate goal when selecting an arm?
True or False: Thompson Sampling only focuses on exploration.
💡 Hint: Consider both terms' definitions.
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Challenge Problems
Push your limits with advanced challenges
A website has three different layouts, A, B, and C. Design an experiment using Thompson Sampling to identify the best layout for user engagement. Outline how you would gather data and update your probabilities.
💡 Hint: Think about how you'd weigh past clicks when making new choices.
Consider an online ad campaign using Thompson Sampling. If the current click-through rate for three ads is 20%, 15%, and 10%, explain how you’d implement Thompson Sampling and justify your choice in the algorithm.
💡 Hint: Reflect on how would you update your initial beliefs with new data.
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Reference links
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