https://github.com/danijelaskov/expectiminimax-backgammon

A 2D JavaFX implementation of one of the most popular and old board games. The AI player's moves are calculated using the expectiminimax algorithm.
https://github.com/danijelaskov/expectiminimax-backgammon

2d-game artificial-intelligence backgammon bekgemon board-game board-games expectiminimax gradle inteligentni-sistemi java java-fx minimax tavla zero-sum

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A 2D JavaFX implementation of one of the most popular and old board games. The AI player's moves are calculated using the expectiminimax algorithm.

• Host: GitHub
• URL: https://github.com/danijelaskov/expectiminimax-backgammon
• Owner: DanijelAskov
• License: gpl-3.0
• Created: 2019-10-14T19:19:05.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2023-02-02T22:34:58.000Z (about 2 years ago)
• Last Synced: 2025-03-24T15:11:19.139Z (about 1 month ago)
• Topics: 2d-game, artificial-intelligence, backgammon, bekgemon, board-game, board-games, expectiminimax, gradle, inteligentni-sistemi, java, java-fx, minimax, tavla, zero-sum
• Language: Java
• Homepage:
• Size: 6.8 MB
• Stars: 27
• Watchers: 5
• Forks: 6
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Expectiminimax Backgammon

[![CodeFactor](https://www.codefactor.io/repository/github/danijelaskov/expectiminimax-backgammon/badge)](https://www.codefactor.io/repository/github/danijelaskov/expectiminimax-backgammon)

![Build & Test Java Project](https://github.com/DanijelAskov/expectiminimax-backgammon/actions/workflows/gradle.yml/badge.svg)

![Gameplay demonstration](demo/gameplay.gif)

## Short application description

A 2D JavaFX implementation of one of the most popular and oldest board games.

Three game modes are supported:

* Human vs Computer (i.e. AI player)

* Human vs Human

* Computer vs Computer

The AI player's moves are determined using the [**expectiminimax algorithm**](https://en.wikipedia.org/wiki/Expectiminimax?oldformat=true).

## Setup

This project uses [Gradle](https://docs.gradle.org/current/userguide/userguide.html).

Open command-line interpreter and simply run `gradlew run` (Windows) or `./gradlew run` (macOS and Linux) to launch the application.

## Note to the reader of this README

If you have any question, suggestion or collaboration offer, please feel free to [contact me](mailto:[email protected]).

**If you find this repository useful, please consider starring it!**