AlphaZero from Scratch – Machine Learning Tutorial

In this machine learning course, you will learn how to build AlphaZero from scratch. AlphaZero is a game-playing algorithm that uses artificial intelligence and machine learning techniques to learn how to play board games at a superhuman level.

🔗 Trained Models + Code for each Chapter: https://github.com/foersterrobert/AlphaZeroFromScratch
🔗 AlphaZero-Paper: https://arxiv.org/pdf/1712.01815.pdf

✏️ Robert Förster created this course.
Website: https://robertfoerster.com/

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⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:01:35) Overview – Part 1
⌨️ (0:05:43) MCTS-Explained
⌨️ (0:27:03) AlphaMCTS-Explained
⌨️ (0:39:05) Overview – Part 2
⌨️ (0:45:14) Chapter 1: TicTacToe
⌨️ (1:00:32) Chapter 2: MCTS
⌨️ (1:34:54) Chapter 3: Model
⌨️ (2:03:09) Chapter 4: AlphaMCTS
⌨️ (2:16:39) Chapter 5: AlphaSelfPlay
⌨️ (2:35:13) Chapter 6: AlphaTrain
⌨️ (2:47:15) Chapter 7: AlphaTweaks
⌨️ (3:08:18) Chapter 8: ConnectFour
⌨️ (3:21:48) Chapter 9: AlphaParallel
⌨️ (3:55:59) Chapter 10: Eval

🎉 Thanks to our Champion and Sponsor supporters:
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Erdeniz Unvan
👾 Justin Hual
👾 Agustín Kussrow
👾 Otis Morgan

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