Practice Objective of MDPs - 5.3.2 | Planning and Decision Making | AI Course Fundamental
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does policy (Ο€) refer to in the context of MDPs?

πŸ’‘ Hint: Think about how decisions are made from different situations.

Question 2

Easy

Why is the discount factor (Ξ³) important?

πŸ’‘ Hint: Consider how immediate choices affect long-term outcomes.

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 objective of MDPs?

  • To minimize costs
  • To maximize expected utility
  • To create deterministic environments

πŸ’‘ Hint: Think about what you'd want to achieve in an uncertain environment.

Question 2

True or False: The discount factor Ξ³ must always be between 0 and 1.

  • True
  • False

πŸ’‘ Hint: Recall the mathematical definition of Ξ³.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Consider an MDP with two states, A and B. The action taken in state A leads to state B with a 70% chance and remains in A with a 30% chance. If the rewards are 5 for reaching B and 1 for remaining in A, calculate the expected utility for taking the action in state A.

πŸ’‘ Hint: Consider how probabilities of transitions impact rewards.

Question 2

If an agent's discount factor is 0.9, and the immediate rewards for actions are 4 and 6, what would be the expected utility considering one future reward of 10 from the current state?

πŸ’‘ Hint: Remember, the discount factor reduces the value of future rewards.

Challenge and get performance evaluation