Practice Markov Decision Processes (MDPs) - 5.3 | 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

Define what an MDP is.

πŸ’‘ Hint: Think about how choices lead to different outcomes.

Question 2

Easy

What does the term 'state' refer to in an MDP?

πŸ’‘ Hint: Consider what the agent faces at any moment.

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 does MDP stand for?

  • Markov Decision Process
  • Markov Distribution Process
  • Markov Data Process

πŸ’‘ Hint: Recall the full form of MDP in decision theory.

Question 2

True or False: The discount factor Ξ³ can only be a value greater than 1.

  • True
  • False

πŸ’‘ Hint: Think about how immediate and future rewards are valued.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a simple MDP with states S1, S2, and S3, where actions result in probabilities of transitioning between states and rewards are assigned, design a policy that maximizes the expected reward.

πŸ’‘ Hint: Start by listing out the potential outcomes for each action and their probabilities.

Question 2

Analyze a real-world scenario in healthcare where MDPs can be applied. Provide a layout of states, actions, and potential rewards.

πŸ’‘ Hint: Think about how treatments evolve the state of patient health.

Challenge and get performance evaluation