Practice Components Of An Mdp (2.1) - Reinforcement Learning and Decision Making
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Components of an MDP

Practice - Components of an MDP

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does the 'set of states (S)' represent in an MDP?

💡 Hint: Consider what each unique situation in the environment might be.

Question 2 Easy

Define the 'set of actions (A)' in your own words.

💡 Hint: Think about the choices an agent can make.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does the set of states (S) represent?

Possible actions of an agent
Possible states of an agent
Reward function

💡 Hint: Think about what characters might interact with in their environment.

Question 2

True or False: The discount factor (γ) influences how much an agent prioritizes future rewards.

True
False

💡 Hint: Recall that this factor can range from 0 to 1.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Create a real-world situation illustrating all components of an MDP, describe each one in detail.

💡 Hint: Think of the agent's objectives and potential obstacles.

Challenge 2 Hard

Given a specific scenario, adjust the discount factor and analyze how it would affect the agent's long-term strategy.

💡 Hint: Consider how short-term vs. long-term planning would affect the decisions.

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Reference links

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