Practice - Q-Learning
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Practice Questions
Test your understanding with targeted questions
What does Q in Q-Learning stand for?
💡 Hint: Think about what the action-value function does in the context of learning.
Define trial and error learning.
💡 Hint: Consider how we learn new skills.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main function of Q-Learning?
💡 Hint: Think about the ultimate goal of agents in reinforcement learning.
True or False: Q-Learning requires knowledge of the environment's rules.
💡 Hint: Focus on what 'model-free' means.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Suppose an agent applies Q-Learning in a grid world where it can move in four directions. How would it update its Q-values when it receives a reward for moving toward the goal?
💡 Hint: Think about the components of the update rule.
Describe a scenario where using a very high learning rate ($\alpha$) might adversely affect an agent's learning in Q-Learning.
💡 Hint: Consider the balance between stability and adaptability in learning.
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Reference links
Supplementary resources to enhance your learning experience.