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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a Deep Q-Network?
π‘ Hint: Consider how traditional Q-learning works.
Question 2
Easy
What does experience replay help to address?
π‘ Hint: Think about the order of data during learning.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the primary purpose of Deep Q-Networks?
π‘ Hint: Recall the role of Q-learning.
Question 2
True or False: Experience replay allows DQNs to use strictly recent experiences for training.
π‘ Hint: Think about how memory usage affects learning.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Imagine developing a DQN for a drone navigating an obstacle course. What modifications would you consider to enhance the learning process?
π‘ Hint: Think about how complex environments might benefit from additional stability mechanisms.
Question 2
Critique the effectiveness of DQNs in real-time decision-making scenarios. What alternative methods might be more suitable?
π‘ Hint: Reflect on the trade-offs between learning stability and adaptability.
Challenge and get performance evaluation