Practice Ucb (9.9.3.2) - Reinforcement Learning and Bandits - Advance Machine Learning
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UCB

Practice - UCB

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define the term 'UCB'.

💡 Hint: What does UCB stand for?

Question 2 Easy

What are the two main strategies debated in reinforcement learning?

💡 Hint: Think of how a learner tests new skills versus utilizing known skills.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does UCB stand for?

Upper Control Benchmark
Upper Confidence Bound
Upper Choice Bound

💡 Hint: Consider what 'C' might represent in machine learning contexts.

Question 2

True or False: UCB guarantees to never explore.

True
False

💡 Hint: Think about how exploration impacts learning!

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Consider a scenario where a UCB algorithm is used to select ads on a website. Describe how it would adjust selections over time if one ad consistently outperforms others.

💡 Hint: Think about how reward updates influence decision-making.

Challenge 2 Hard

Suppose you implemented the UCB in a multi-armed bandit problem. Can you outline the steps required to evaluate and adjust your strategy after 100 trials?

💡 Hint: Remember to factor in both your current knowledge and the uncertainty around less chosen actions.

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Reference links

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