Practice What is Exploration? - 9.8.1 | 9. Reinforcement Learning and Bandits | Advance Machine Learning
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9.8.1 - What is Exploration?

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does exploration mean in reinforcement learning?

πŸ’‘ Hint: Think about how you'd find the best path in an unfamiliar area.

Question 2

Easy

What is the Ξ΅-greedy strategy?

πŸ’‘ Hint: This strategy is a mix of random and best-known choices!

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 the primary goal of exploration in reinforcement learning?

  • To maximize immediate rewards
  • To gather information about the environment
  • To exploit known rewards

πŸ’‘ Hint: Think about why you'd want to try something new.

Question 2

True or False: Exploitation focuses on trying new actions.

  • True
  • False

πŸ’‘ Hint: Remember the definitions of both terms!

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design an agent that must learn in an environment where the rewards are highly unpredictable. Explain how you would balance exploration and exploitation.

πŸ’‘ Hint: Consider starting with more exploration and transitioning to exploitation.

Question 2

Analyze a scenario in an online advertisement system implementing UCB. Discuss how it handles the exploration-exploitation trade-off.

πŸ’‘ Hint: Think about how current performance and uncertainty balance each other.

Challenge and get performance evaluation