Overview
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.
Syllabus
Write Your Own AI Agent with Monte Carlo Tree Search
Taught by
Chris Hay