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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What do we mean by 'States' in an MDP?
💡 Hint: Think about different positions in a game.
Question 2
Easy
What denotes the chance of transitioning from one state to another?
💡 Hint: Relate it to the dynamics of the game environment.
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 do 'States' in an MDP refer to?
- Configurations in the environment
- Actions the agent can take
- Feedback received after actions
💡 Hint: Consider different contexts the agent is navigating.
Question 2
True or False: The Discount Factor, γ, helps prioritize immediate rewards over future rewards.
- True
- False
💡 Hint: Think about how long-term strategies are valued.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a simple MDP with three states and two actions, define potential Transition Probabilities based on the expected behavior of an agent. Explain your reasoning.
💡 Hint: Consider realistic scenarios where actions do not always lead to the preferred outcome.
Question 2
You are tasked with designing an RL system for a self-driving car. Describe how you would set the Rewards and Discount Factor parameters to maximize safe long-term navigation.
💡 Hint: Think about long-term goals like safety and efficiency versus short-term benefits like speed.
Challenge and get performance evaluation