Machine Learning2: UNIT-5 Questions

UNIT-5 
Short Answer Questions
    1. Write about control knowledge. 
    2. Discuss Dynamic Programming 
    3. Define explanation-based learning 
    4. Define Reinforcement Learning 
    5. Define Markov decision process. 
    6. Define Agent, Environment, action. 
 Long Answer Questions
1. Explain Learning with Perfect Domain Theories: Prolog-EBG in detail. 
2. Discuss Explanation-Based learning of search control knowledge 
3. Explain about search control knowledge in detail 
4. Explain the inductive analytical approaches to learning 
5. Explain about PROLOG-EBG, in detail 
6. What are the differences between inductive learning and analytical learning problems and explain the same with an example. 
7. Illustrate Reinforcement Learning Problem with example. List the Reinforcement Learning Problem characteristics. 
8. Explain Q-Learning with an example 9. Illustrate Learning Task with an example. 
10. Explain temporal difference learning in detail. 
11. Discuss about Q–learning, in detail. 
12. Relationship to Dynamic Programming 
13. Nondeterministic Rewards and Actions,

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