5.3.3 - Solving MDPs
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Practice Questions
Test your understanding with targeted questions
What does MDP stand for?
💡 Hint: Think of the process of making decisions under uncertainty.
Identify a method used to solve MDPs.
💡 Hint: One focuses on immediate rewards, the other on iterative policies.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main purpose of a Markov Decision Process?
💡 Hint: Think about environments where not everything is predictable.
True or False: Value iteration directly optimizes a policy.
💡 Hint: Consider the difference between values and policies.
3 more questions available
Challenge Problems
Push your limits with advanced challenges
Design an MDP for a delivery robot navigating an office building with obstacles. Outline the states, actions, rewards, and how you would implement value iteration for this scenario.
💡 Hint: Remember to consider the physical layout and obstacles within your design.
Using policy iteration, discuss how you would tackle the problem of resource allocation in a hospital. Identify the states, actions, policies, and expected rewards.
💡 Hint: Focus on the specific needs of patients and how they influence resource distribution.
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