![]() What's the best move you should pick in any given situation? While playing you're wondering what the optimal strategy might be. Let's imagine that you're playing some games of Tic-Tac-Toe with your friends. We'll also shed some light into the computational challenges we'll face and how to handle them via performance optimization techniques. After that we'll see how Minimax and MCTS can be used in modern game implementations to build sophisticated Game AIs. We'll start our journey into tree search algorithms by discovering the intuition behind their inner workings. In this blog post we'll discuss 2 famous tree search algorithms called Minimax and Monte Carlo Tree Search (abbreviated to MCTS). One such family of algorithms leverages tree search and operates on game state trees. To be precise there are a couple of algorithms which can be utilized to predict the best possible moves in games such as Tic-Tac-Toe, Connect Four, Chess and Go among others. Is there such an algorithm that will show you how you can defeat your opponent at any given time? ![]() ![]() You might've wondered if there's a certain strategy you can exploit that lets you win all the time (or at least force a draw). Do you remember your childhood days when you discovered the infamous game Tic-Tac-Toe and played it with your friends over and over again?
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |