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2103 Curated Machine Learning, Data Science, Python & LLMs Interview Questions
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Top 12 Q-Learning Interview Questions

Entry Junior Mid Senior Expert
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Q-Learning Theoretical Questions

Q1:   

How do you know when a Q-Learning Algorithm converges?

  Related To: Reinforcement Learning
Add to PDF   Junior 
Q2:   

What do the Alpha and Gamma parameters represent in Q Learning?

  Related To: Reinforcement Learning
Add to PDF   Junior 
Q3:   

How to define States in Reinforcement Learning?

  Related To: Reinforcement Learning
Add to PDF   Junior 
Q4:   

What is the difference between Q-Learning and SARSA and when would you use each one?

  Related To: Reinforcement Learning
 Add to PDF   Mid 
Q5:   

Can Q-learning be used for continuous (state or action) spaces? If not, then what would you use?

  Related To: Reinforcement Learning
 Add to PDF   Mid 
Q6:   

What's the difference between Q-Learning and Policy Gradients methods?

  Related To: Reinforcement Learning
 Add to PDF   Mid 
Q7:   

What is the difference between episode and epoch in Deep Q-Learning?

  Related To: Reinforcement Learning
 Add to PDF   Mid 
Q8:   

What's the difference between a Deep Q-Network and a categorical Deep Q-Network?

  Related To: Reinforcement Learning
 Add to PDF   Mid 
Q9:   

What's the difference between Deep Q-Learning and Policy Gradient Method?

  Related To: Reinforcement Learning
 Add to PDF   Senior 
Q10:   

Why do we need the target network in a Deep Q-Network?

  Related To: Reinforcement Learning
 Add to PDF   Senior 
Q11:   

What are some advantages of Quantile Regression DQN over Categorical DQN?

  Related To: Reinforcement Learning
 Add to PDF   Senior 
Q12:   

What's the difference between Advantage Actor-Critic (A2C) and Asynchronous Advantage Actor-Critic (A3C)?

  Related To: Reinforcement Learning
 Add to PDF   Expert 
 

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