10.3 - Q-Learning and Deep Q-Networks
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Practice Questions
Test your understanding with targeted questions
What is the primary function of Q-Learning?
💡 Hint: Think about its aims regarding rewards.
Define the term 'discount factor' in reinforcement learning.
💡 Hint: Consider how it influences decision-making over time.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does Q-Learning aim to maximize?
💡 Hint: Focus on the end goal and the results of the updates.
True or False: DQNs use simple Q-tables to represent the action values.
💡 Hint: Think about the complexity of environments DQNs typically handle.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Given a reinforcement learning scenario, design a Q-Learning algorithm that adapts to both immediate and delayed rewards. How would you choose the learning rate and discount factor?
💡 Hint: Think about how different environments may require different strategies.
Discuss how you would implement experience replay in a DQN for a specific video game. What modifications would be needed compared to basic Q-Learning?
💡 Hint: Consider the implications for training data diversity.
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