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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does DQN stand for?
💡 Hint: Think about the combination of Q-Learning and deep learning.
Question 2
Easy
Name one key benefit of using neural networks in DQN.
💡 Hint: Consider how traditional Q-Learning struggles with large inputs.
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 DQN primarily combine?
- Value-Based Learning and Decision Trees
- Q-Learning and Neural Networks
- Supervised Learning and Unsupervised Learning
💡 Hint: Focus on the components of DQN.
Question 2
True or False: Experience replay in DQNs allows the agent to store experiences and use them to stabilize learning.
- True
- False
💡 Hint: Consider how learning might benefit from past information.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Critically analyze the impact of size and quality of experience replay memory in DQNs. How does it affect learning?
💡 Hint: Consider the balance between recent and diverse experiences.
Question 2
Devise modifications to the DQN architecture to handle a specific application's needs, such as continuous action spaces.
💡 Hint: Think about how DQNs are structured and how they might adapt to different tasks.
Challenge and get performance evaluation