Minmax (minimax) algorithm with Alpha-Beta (𝛼−𝛽, ab) Pruning optimization for the Checkers (Draughts) game in Python 3. Same minimax algorithm works for chess, tic tac toe or similar games.

RLOP: A Framework for Reinforcement Learning, Optimization and Planning Algorithms

This is a game AI project for the course "Artificial Intelligence" at the University of Calabria, Italy.

Tic Tac Toe Webapp playing perfectly with alpha-beta search

A project for chillin wars competition(year 2020) written in Python, which agents make desicions using lapha-betha search and evolutionary algorithm.

Two player checkers game for CS5346 Artificial Intelligence

Othello Game (Also known as Reversi). It was created with the Minimax algorithm (Alpha-Beta pruning). Allows Human-AI, AI-AI, RandomPlayer-AI, RandomPlayer-Human interplay

An implementation of Alpha-Zero algorithm for 8 x 8 Connect 4, comparing it to a naive alpha-beta search.

Game-playing agents for playing the abstract board game Breakthrough (https://en.wikipedia.org/wiki/Breakthrough_(board_game))