3.2 - Value-Based Deep Q-Network (DQN)
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Practice Questions
Test your understanding with targeted questions
What does DQN stand for?
💡 Hint: Think about the combination of Q-Learning and deep learning.
Name one key benefit of using neural networks in DQN.
💡 Hint: Consider how traditional Q-Learning struggles with large inputs.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does DQN primarily combine?
💡 Hint: Focus on the components of DQN.
True or False: Experience replay in DQNs allows the agent to store experiences and use them to stabilize learning.
💡 Hint: Consider how learning might benefit from past information.
1 more question available
Challenge Problems
Push your limits with advanced challenges
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.
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.
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