AI Episode 10 | Adversarial Search in AI | Minimax Algorithm & Alpha-Beta Pruning Explained

The Explain Lab ยท Beginner ยท๐Ÿ“ ML Fundamentals ยท7mo ago
Welcome to Episode 10 of our Artificial Intelligence series! ๐ŸŽ“ In this lecture, we dive into Adversarial Search โ€” how AI makes decisions in competitive environments like chess, tic-tac-toe, and multiplayer games. Youโ€™ll learn about: โœ… What is Adversarial Search? โœ… MAX vs MIN players in games โœ… The Minimax Algorithm explained โœ… Alpha-Beta Pruning for efficiency โœ… Multiplayer games and alliances Perfect for B.Tech students, AI beginners, and anyone curious about game-playing AI. ๐Ÿ”” Donโ€™t forget to like, share, and subscribe for more AI lessons! #ArtificialIntelligence #AdversarialSearch #Miโ€ฆ
Watch on YouTube โ†— (saves to browser)
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