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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a policy in reinforcement learning?
π‘ Hint: Think about how a plan guides actions.
Question 2
Easy
Define Q-value in simple terms.
π‘ Hint: It includes potential future rewards.
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 a policy in reinforcement learning do?
- A guide for creating rewards
- Defines the action to take in a state
- Measures the effectiveness of actions
π‘ Hint: Remember, think about the agent's decisions.
Question 2
True or False: The Q-value only considers immediate rewards.
- True
- False
π‘ Hint: Consider how future actions influence current decisions.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a policy for a self-driving car that has to navigate through traffic lights and pedestrians. Discuss how value functions and Q-values inform decisions at each stage.
π‘ Hint: Consider how different factors affect decisions in a dynamic environment.
Question 2
Create a table comparing the benefits and limitations of using a value function versus a Q-value approach in reinforcement learning scenarios. Provide an example of when one might be more effective than the other.
π‘ Hint: Reflect on scenario complexities while creating your comparison.
Challenge and get performance evaluation