Apr 7, 2025 · Mini-Max algorithm is a decision-making algorithm used in artificial intelligence, particularly in game theory and computer games. It is designed to minimize the possible loss …

Mar 17, 2025 · The minimax algorithm performs a depth-first search algorithm for the exploration of the complete game tree. The minimax algorithm proceeds all the way down to the terminal …

For two player games, the minimax algorithm is such a tactic, which uses the fact that the two players are working towards opposite goals to make predictions about which future states will …

Jan 31, 2025 · Learn to code an unbeatable Tic-tac-toe AI using the Minimax algorithm in Python. This tutorial covers theory, implementation, and optimization, ideal for game AI enthusiasts.

The name " Minimax " comes from the strategy of minimizing the potential loss (for the opponent) while maximizing the potential gain (for the AI player). It operates on the principle of …

Minimax algorithm is a game search algorithm, which is used to determine optimal move for each player while playing a strategy game. It can be used in a 2 player game where the players take …

Mar 18, 2024 · However, there are particular kinds of problems where typical graph search algorithms cannot be applied. In this tutorial, we’ll discuss such problems and evaluate one of …

The minimax search algorithm is a recursive algorithm commonly used in the context of two player deterministic strategy games, like chess, checkers, tic-tac-toe, etc.

In implementation, minimax behaves similarly to depth-first search, computing values of nodes in the same order as DFS would, starting with the leftmost terminal node and iteratively working …

Aug 29, 2025 · Dive deep into the minimax algorithm in artificial intelligence. This guide explains how it optimizes decision-making in two-player games with clear examples and code.