Learn to implement a Monte Carlo Tree Search (MCTS) algorithm by building an AI agent that plays Tic-Tac-Toe in this 32-minute tutorial video. Explore the fundamental algorithm powering O1 models during inference, previously utilized in groundbreaking AI achievements like AlphaGo and AlphaZero. Follow along with a practical demonstration of MCTS implementation, understand its core mechanics, and discover how it compares to modern O1-preview and O1-mini models. Access the complete source code on GitHub to build and experiment with your own AI agent.
Write Your Own AI Agent with Monte Carlo Tree Search - Building a Tic-Tac-Toe Game
Overview
Syllabus
Write Your Own AI Agent with Monte Carlo Tree Search
Taught by
Chris Hay
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