Practice Components of an MDP - 2.1 | Reinforcement Learning and Decision Making | Artificial Intelligence Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

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.

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 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.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

Question 2

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.

Challenge and get performance evaluation