Practice Introduction And Motivation (9.10.1) - Reinforcement Learning and Bandits
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Introduction and Motivation

Practice - Introduction and Motivation

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is a Contextual Bandit?

💡 Hint: Think of how user data may influence recommendations.

Question 2 Easy

How does LinUCB differ from traditional MAB?

💡 Hint: Focus on the role of context in LinUCB.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What do Contextual Bandits use to inform their choices?

Only past rewards
Contextual information
Random choice

💡 Hint: Think about personalization in recommendation systems.

Question 2

True or False: Contextual Bandits do not consider context.

True
False

💡 Hint: Remember what sets Contextual Bandits apart from MAB.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a Contextual Bandit algorithm for a new streaming service that considers user viewing history and preferences.

💡 Hint: Consider what features best reflect user interests.

Challenge 2 Hard

Discuss the pitfalls of implementing Contextual Bandits in real-time systems.

💡 Hint: Reflect on the dynamic nature of user preferences.

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Reference links

Supplementary resources to enhance your learning experience.