Alpha-Beta Pruning Algorithm Implementation in Python | AI Game Playing #28
In this video, we implement the Alpha-Beta Pruning algorithm in Python, a powerful optimization for the Minimax algorithm used in AI game playing. Alpha-Beta Pruning helps reduce the number of nodes evaluated in the search tree, making decision-making more efficient in games like Chess, Tic-Tac-Toe, and more.
🧠 What You’ll Learn:
How Alpha-Beta Pruning works
Its relationship with the Minimax algorithm
Python implementation step-by-step
Real-world use in game-playing AI