The celebrated minimax principle of Yao (1977) says that for any Boolean-valued function f with finite domain, there is a distribution μ over the domain of f su ...

Nonconvex-concave (NC-C) finite-sum minimax problems have broad applications in decentralized optimization and various machine learning tasks. However, the nonsmooth nature of NC-C problems makes it ...

Tic Tac Toe game featuring an AI opponent using the Minimax algorithm with alpha-beta pruning to play optimally and never lose. Implemented with Python and Pygame with a clean graphical interface.

MiniMax, a unicorn valued at US$2.5 billion, was in the ‘early stage’ of preparations for the listing, according to news outlet The Paper.

A Python framework to build solo or multiplayer perfect-information games, and design solvers or AI bots using algorithms like Backtracking, Pathfinding, Minimax, MCTS, or Neural Networks.