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- Assignment 3 Explained
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Classroom Contents
Introduction to Artificial Intelligence: Minimax, Alpha-Beta Pruning, and Assignment 3 - Lecture 10
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- 1 - Preroll
- 2 - Greetings
- 3 - Lecture Start
- 4 - Multiplayer Games
- 5 - Game Playing Algorithms
- 6 - Look-Ahead and Evaluate
- 7 - Game Tree Size
- 8 - Look-Ahead as Far as Possible
- 9 - Tree Search with Multiple Players
- 10 - MaxValue and MinValue Functions
- 11 - MiniMax Algorithm
- 12 - Megamax Algorithm
- 13 - MiniMax Properties & NE
- 14 - Alpha-Beta Pruning
- 15 - Alpha-Beta Visual Example
- 16 - Alpha-Beta Computational Savings
- 17 - Alpha-Beta MaxValue and MinValue
- 18 - Alpha-Beta Single Algorithm
- 19 - Shortening the Alpha-Beta Algorithm
- 20 - Recording the Best Action
- 21 - Implementing a Time Limit
- 22 - Iterative Deepening Alpha-Beta
- 23 - Exam Questions
- 24 - Assignment 3 Explained
- 25 - A3 GUI Explained
- 26 - A3 Testing Functions
- 27 - A3 Code - GameState
- 28 - Sample Players
- 29 - Player_Student
- 30 - IDAlpheBeta Function
- 31 - AlphaBeta Function
- 32 - Eval Function
- 33 - Marking Scheme
- 34 - AlphaBeta Debugging Tips
