Practice Definition of MDPs - 9.2.1 | 9. Reinforcement Learning and Bandits | Advance Machine Learning
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9.2.1 - Definition of MDPs

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does MDP stand for?

πŸ’‘ Hint: Think about how decisions are modeled mathematically.

Question 2

Easy

Name one component of an MDP.

πŸ’‘ Hint: Think about the elements involved in decision-making.

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 Decision Processes
  • Markov Data Process

πŸ’‘ Hint: Think about the full phrase that describes the framework.

Question 2

True or False: Transition probabilities in an MDP tell you the chances of moving to a new state given a specific action.

  • True
  • False

πŸ’‘ Hint: Remember the relationships between states and actions when considering this.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Create a detailed MDP model for a delivery robot navigating through a city with buildings, obstacles, and varying rewards based on delivery efficiency.

πŸ’‘ Hint: Think about how each component interacts in real-world scenarios, considering obstacles and varying routes.

Question 2

Analyze the effect of adjusting the discount factor (Ξ³) from 0.5 to 0.9 in an existing MDP model. Predict what changes in behavior would occur in the agent’s decision-making process.

πŸ’‘ Hint: Consider how prioritizing future gains impacts short-term versus long-term strategy.

Challenge and get performance evaluation