Practice Finite Vs Infinite Horizon (9.2.5) - Reinforcement Learning and Bandits
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Finite vs Infinite Horizon

Practice - Finite vs Infinite Horizon

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define finite horizon in the context of MDP.

💡 Hint: Think about how many decisions are allowed.

Question 2 Easy

What is the primary difference between finite and infinite horizons?

💡 Hint: Consider the length of the decision process.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What defines a finite horizon in MDP?

Unlimited timeframe
Set number of time steps
Indefinite decision-making

💡 Hint: Focus on the word 'finite.'

Question 2

Is it true that in infinite horizon, rewards can be computed using a discount factor?

True
False

💡 Hint: Recall its role in long-term planning.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a reinforcement learning task that would be best suited for a finite horizon and explain your reasoning.

💡 Hint: Think of competitive events with time limits.

Challenge 2 Hard

Analyze the effect of varying the discount factor in an infinite horizon scenario. What implications does this have on reward evaluation?

💡 Hint: Consider how valuing future rewards affects decision-making.

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Reference links

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