Practice Exploration Vs Exploitation Trade-off (9.8) - Reinforcement Learning and Bandits
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Exploration vs Exploitation Trade-off

Practice - Exploration vs Exploitation Trade-off

Learning

Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

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Reference links

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