MiniMax M2.7 offers a balanced approach to artificial intelligence, designed to meet the needs of organizations constrained by computational resources. With 230 billion parameters and a processing ...

This project implements the classic board game Othello (also known as Reversi) using Python. It allows for two-player gameplay and also integrates the Minimax algorithm to provide an AI-based player.

Abstract: Minimax optimization is gaining increasing attention in modern machine learning applications. Driven by large-scale models and massive volumes of data collected from edge devices, as well as ...

Run execute.py in the root directory to play the game. You can change the number of opponents and run count in execute.py as needed. uno/match.py The match class, contains players, deck and discard ...