MCTS

Monte Carlo Tree Search (MCTS) is a computer algorithm used to make decisions in complex situations, like game playing. It works by simulating many possible future moves randomly to see which ones lead to the best outcomes. The algorithm builds a "decision tree," exploring different options, and gradually focuses on the most promising paths based on the results of these simulations. This approach allows the computer to balance trying new moves and sticking with known good ones, making it effective for strategic decisions where outcomes are uncertain.