Tablut Game AI ML Frameworks

Student implementations of AI agents that play the ancient Scandinavian board game Tablut using game-playing algorithms (minimax, alpha-beta pruning, etc.). Does NOT include other board games, general game AI frameworks, or non-Tablut game implementations.

There are 11 tablut game ai frameworks tracked. The highest-rated is AGalassi/TablutCompetition at 43/100 with 23 stars.

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# Framework Score Tier
1 AGalassi/TablutCompetition

Software for the Tablut Students Competition

43
Emerging
2 gbroques/missionaries-and-cannibals

Python program that solves the Missionaries and Cannibals problem, a toy...

39
Emerging
3 MatteoFasulo/Tablut

Project for the MSc in Artificial Intelligence of the University of Bologna,...

31
Emerging
4 Subangkar/Missionaries-and-Cannibals-Problem-Python

This Python implementation is a scaled up version of the Missionaries and...

30
Emerging
5 Gionnino9000/Gionnino9000

La nostra soluzione per la Tablut Challenge 2022 ♟️ (Fondamenti di...

28
Experimental
6 Bishalsarang/Missionaries-and-Cannibals-Problem

This repository contains the solution to Missionaries and Cannibal Problem...

27
Experimental
7 alessandrostockman/almarima-tablut

AI agent able to play the board game Tablut, developed for a project work in...

23
Experimental
8 MatteoCastiglio/Daniele

A player for Tablut Competition https://github.com/AGalassi/TablutCompetition

18
Experimental
9 Scheggetta/uct-tablut

UCT-based agent that plays Tablut with Ashton rules

13
Experimental
10 MateusjsSilva/cannibals-and-missionaries

Python implementation of the classic Cannibals and Missionaries problem,...

11
Experimental
11 tex216/Missionaries-and-Cannibals

Python program that solves a scaled-up version of the classic Missionaries...

11
Experimental