Practice Markov Decision Processes (mdps) (9.2) - Reinforcement Learning and Bandits
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Markov Decision Processes (MDPs)

Practice - Markov Decision Processes (MDPs)

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What are the five key components of an MDP?

💡 Hint: Think of what makes up the framework of decision-making.

Question 2 Easy

What does the discount factor (γ) do?

💡 Hint: Consider how future rewards are valued compared to immediate rewards.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does an MDP primarily model?

Supervised Learning
Random Processes
Decision-Making

💡 Hint: Think of how agents make choices under risk.

Question 2

True or False: The discount factor in an MDP can be greater than 1.

True
False

💡 Hint: Recall how future rewards are treated.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Imagine an MDP for a shopping agent that can either buy an item or save money. Define the states, actions, transition probabilities, rewards, and discount factor.

💡 Hint: Think about how the environment and choices can influence the agent's state and future decisions.

Challenge 2 Hard

Given an MDP for a maze navigation task, how would you adjust the discount factor if the agent is highly focused on immediate rewards?

💡 Hint: Consider how the agent views immediate vs. future rewards and the implications for its strategies.

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Reference links

Supplementary resources to enhance your learning experience.