Artificial Intelligence: Minimax Algorithm
Minimax algorithm (and Alpha-beta pruning) in Python
Development ,Data Science,Python
Lectures -12
Duration -1.5 hours
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Course Description
In this artificial intelligence course, we will implement the Minimax algorithm and its optimized version, the Alpha Beta pruning algorithm.
We will apply the algorithm to the tic-tac-toe game, but in a generic way, so that it can be easily applied to other games.
This course is aimed at developers who would like to add artificial intelligence into their games, those who would like to implement the Minimax algorithm, as well as students and artificial intelligence enthusiasts. This course also aims to be a stepping stone to more advanced courses in artificial intelligence, machine learning and deep learning.
Goals
The minimax algorithm
The implementation of the Minimax algorithm in Python
The Alpha-Beta pruning algorithm
The implementation of the Alpha-Beta pruning algorithm in Python
Artificial intelligence in video games
Improving your Python knowledge through practice
Prerequisites
Basic programming knowledge

Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
1 Lectures
-
Introduction 02:40 02:40
Minimax Algorithm
3 Lectures

Implementation
6 Lectures

Alpha-beta pruning & conclusion
2 Lectures

Instructor Details

Maxime Vandegar
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