Practice Eligibility Traces and TD(λ) - 9.5.5 | 9. Reinforcement Learning and Bandits | Advance Machine Learning
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9.5.5 - Eligibility Traces and TD(λ)

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What are eligibility traces used for in TD(λ)?

💡 Hint: Think about how rewards are recalled after multiple actions.

Question 2

Easy

Describe the range of the λ parameter in TD(λ).

💡 Hint: Consider the extremes of reward consideration.

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 do eligibility traces do in TD(λ)?

  • Only consider immediate rewards
  • Record past experiences for credit assignment
  • Eliminate past actions from consideration

💡 Hint: Think about how agents remember choices.

Question 2

True or False: TD(λ) only relies on the most recent action for updates.

  • True
  • False

💡 Hint: Consider how performance feedback is processed over time.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Consider a robot learning to navigate a maze. How would using eligibility traces improve its learning compared to a simple Q-learning approach?

💡 Hint: Reflect on the importance of path choices in reinforcement learning.

Question 2

Design an experiment comparing the learning rates of TD(λ) with different λ values. What measurements would you take?

💡 Hint: Think about how you could visualize the outcomes.

Challenge and get performance evaluation