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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define exploration in the context of reinforcement learning.
💡 Hint: Think about why an agent would want to try something new instead of sticking to what it knows.
Question 2
Easy
What does exploitation refer to in reinforcement learning?
💡 Hint: Consider what an agent would do if it only wanted the best known reward.
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 is exploration in reinforcement learning?
- Sticking to known actions
- Trying new actions to gather information
- Ignoring both
💡 Hint: Consider what an agent does when faced with uncertainty.
Question 2
True or False: Exploitation only focuses on known rewards.
- True
- False
💡 Hint: Think about what exploitation means in decision-making.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design an experiment where you use both exploration and exploitation in an online advertising context. How would you implement ε-greedy and UCB?
💡 Hint: Consider how each strategy can benefit overall advertisement effectiveness.
Question 2
If you were to choose a single strategy among those discussed—UCB or Thompson Sampling—for a retail recommendation system, which would you choose and why?
💡 Hint: Think about how quickly businesses must adapt to changing consumer behavior.
Challenge and get performance evaluation