Practice Eligibility Traces And Td(λ) (9.5.5) - Reinforcement Learning and Bandits
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Eligibility Traces and TD(λ)

Practice - Eligibility Traces and TD(λ)

Learning

Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

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Reference links

Supplementary resources to enhance your learning experience.