Fundamentals of Artificial Intelligence

Fundamentals of Artificial Intelligence

NPTEL IIT Guwahati via YouTube Direct link

Lec 09: Minimax + Alpha-Beta

10 of 35

10 of 35

Lec 09: Minimax + Alpha-Beta

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Fundamentals of Artificial Intelligence

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  1. 1 Fundamentals of Artificial Intelligence [Introduction]
  2. 2 Lec 01: Introduction to AI
  3. 3 Lec 02: Problem Solving as State Space Search
  4. 4 Lec 03: Uniformed Search
  5. 5 Lec 04: Heuristic Search
  6. 6 Lec 05: Informed Search
  7. 7 Lec 06: Constraint Satisfaction Problems
  8. 8 Lec 07: Searching AND/OR Graphs
  9. 9 Lec 08: Game Playing
  10. 10 Lec 09: Minimax + Alpha-Beta
  11. 11 Lec 10: Introduction to Knowledge Representation
  12. 12 Lec 11: Propositional Logic
  13. 13 Lec 12: First Order Logic -I
  14. 14 Lec 13: First Order Logic -II
  15. 15 Lec 14: Inference in First Order Logic - I
  16. 16 Lec 15: Inference in FOL - II
  17. 17 Lec 16: Answer Extraction
  18. 18 Lec 17: Procedural Control of Reasoning
  19. 19 Lec 18: Reasoning under Uncertainty
  20. 20 Lec 19: Bayesian Network
  21. 21 Lec 20: Decision Network
  22. 22 Lec 21: Introduction to Planning
  23. 23 Lec 22: Plan Space Planning
  24. 24 Lec 23: Planning Graph and GraphPlan
  25. 25 Lec 24: Practical Planning and Acting
  26. 26 Lec 25: Sequential Decision Problems
  27. 27 Lec 26: Making Complex Decisions
  28. 28 Lec 27: Introduction to Machine Learning
  29. 29 Lec 28: Learning Decision Trees
  30. 30 Lec 29: Linear Regression
  31. 31 Lec 30: Support Vector Machines
  32. 32 Lec 31: Unsupervised Learning
  33. 33 Lec 32: Reinforcement Learning
  34. 34 Lec 33: Learning in Neural Networks
  35. 35 Lec 34: Deep Learning: A Brief Overview

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