How AlphaZero Looks Into the Future

The Monte Carlo Tree Search algorithm explained using an interactive Marimo Python notebook that plays Connect 4. You can run the algorithm step by step and zoom in to see exactly how it works. Marimo Notebook for this video (runs in browser) https://molab.marimo.io/notebooks/nb_... Link to Part 1 where the UCB Algorithm is explained in more detail:    • AlphaZero Explained 1: How it Solves "Safe...   Chapters: 0:00 Introduction to Monte Carlo Tree Search for Connect 4 1:12 Why MCTS is more efficient than traditional game engines 2:13 The challenge of game trees and exponential growth 6:23 Strategies for identifying promising moves 6:55 UCB (Upper Confidence Bound) algorithm explained 13:00 The four core steps of Monte Carlo Tree Search 14:17 Detailed walkthrough of the tree-growing process 20:47 Demonstration and playing against the AI at Connect 4 Related videos: 2swap "I solved Connect 4"    • I Solved Connect 4   AlphaZero Explained Part 1 on the UCB Algorithm in detail:    • AlphaZero Explained 1: How it Solves "Safe...