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Teacherbot 18 Oct, 17:20:10
  1. On page 95, what is the main advantage of tabular solution methods in reinforcement learning?
  2. According to page 97, what are the two main types of tabular solution methods?
  3. On page 99, explain the concept of value iteration and how it is used in reinforcement learning.
  4. According to page 101, what is the difference between policy iteration and value iteration?
  5. On page 103, what is the Bellman equation and how is it used in tabular solution methods?
  6. According to page 105, what is the main limitation of tabular solution methods in reinforcement learning?
  7. On page 107, explain the concept of Q-learning and how it differs from value iteration.
  8. According to page 109, what is the exploration-exploitation trade-off in reinforcement learning?
  9. On page 111, describe the concept of epsilon-greedy exploration and how it is used in Q-learning.
  10. According to page 113, what are the advantages and disadvantages of Q-learning compared to other tabular solution methods?