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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define finite horizon in the context of MDP.
π‘ Hint: Think about how many decisions are allowed.
Question 2
Easy
What is the primary difference between finite and infinite horizons?
π‘ Hint: Consider the length of the decision process.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What defines a finite horizon in MDP?
π‘ Hint: Focus on the word 'finite.'
Question 2
Is it true that in infinite horizon, rewards can be computed using a discount factor?
π‘ Hint: Recall its role in long-term planning.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Design a reinforcement learning task that would be best suited for a finite horizon and explain your reasoning.
π‘ Hint: Think of competitive events with time limits.
Question 2
Analyze the effect of varying the discount factor in an infinite horizon scenario. What implications does this have on reward evaluation?
π‘ Hint: Consider how valuing future rewards affects decision-making.
Challenge and get performance evaluation