Imagine mapping every possible route for a cross-country road trip — not just the highways, but every dirt road, wrong turn, scenic bypass, and gas station stop. The number of possible paths would dwarf the number of atoms in the observable universe. You'd never leave the driveway. Yet AI systems navigate decision spaces this vast every day, and this episode explains how.

We explore Monte Carlo tree search (MCTS) and related algorithms that allow AI to make intelligent decisions in impossibly large search spaces. This is the technology that powered AlphaGo's historic victory over the world's best Go player — a game where the number of legal board positions exceeds ten to the 170th power — and it continues to drive breakthroughs in robotics, autonomous systems, and strategic planning.

We break down how MCTS works: rather  ...