Practice UCB - 9.9.3.2 | 9. Reinforcement Learning and Bandits | Advance Machine Learning
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9.9.3.2 - UCB

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define the term 'UCB'.

πŸ’‘ Hint: What does UCB stand for?

Question 2

Easy

What are the two main strategies debated in reinforcement learning?

πŸ’‘ Hint: Think of how a learner tests new skills versus utilizing known skills.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What does UCB stand for?

  • Upper Control Benchmark
  • Upper Confidence Bound
  • Upper Choice Bound

πŸ’‘ Hint: Consider what 'C' might represent in machine learning contexts.

Question 2

True or False: UCB guarantees to never explore.

  • True
  • False

πŸ’‘ Hint: Think about how exploration impacts learning!

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

πŸ’‘ Hint: Think about how reward updates influence decision-making.

Question 2

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?

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

Challenge and get performance evaluation