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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a stochastic bandit?
π‘ Hint: Think about what defines the rewards in a stochastic setting.
Question 2
Easy
Define exploitation in the context of bandits.
π‘ Hint: Consider what it means to take the most rewarding option.
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 defines a stochastic bandit?
- Fixed rewards with probability distributions
- Rewards that change over time
- Rewards based on player skill
π‘ Hint: Think of the predictability of the outcomes.
Question 2
Contextual bandits utilize what type of information?
- True
- False
π‘ Hint: Consider how this might influence the results.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Suppose you have a multi-armed bandit problem with two stochastic arms. Arm A has a 60% chance of giving a reward of 10, and Arm B has a 40% chance of giving a reward of 20. If you use the Ξ΅-greedy strategy, what are the expected rewards after a significant number of trials?
π‘ Hint: Calculate expected values based on probabilities and rewards.
Question 2
In a recommendation system setting, how would you implement a contextual bandit algorithm to improve user experience? List and describe the steps involved.
π‘ Hint: Think about how user behavior can inform better recommendations.
Challenge and get performance evaluation