A library for Hnefatafl (Viking Chess, or Tafl) that is used for move generation/validation, piece placement/movement, and game over detection. You can use it to simulate games between AI agents - although you need to write the agents yourself :)
Java-based artificial intelligence that plays Tablut using Ashton's rules
Software for the Tablut Students Competition
La nostra soluzione per la Tablut Challenge 2022 ♟️ (Fondamenti di Intelligenza Artificiale M)
Implémentation du jeu Tablut pour BoardGameArena
A very simple AI engine that plays a weird game with weird rules because in the end we're all weird. Mirror @ https://gitlab.com/andreabisacchi/BHESTIE_Tablut
An AI based board game developed with Pygame.
Project for the MSc in Artificial Intelligence of the University of Bologna, academic year 2023/2024. Tablut Challenge from the Fundamentals of Artificial Intelligence and Knowledge Representation course
Bug Tablut is an artificial intelligence for the Tablut Game Competition organized by the Foundations of Artificial Intelligence M AA 2021-2022 course at the Unibo. The project is written in Kotlin. The project realizes a player for an ancient Nordic strategy board game named "Tablut".
Tablut challenge 2025 player, course of fondamenti di intelligenza artificiale M
Tablut board game player for Fundamentals of Artificial Intelligence class at UNIBO
Kyndill is a Tablut (Ashton rules) Agent for the Tablut Challenge presented at the AI Fundamentals course, part of the Master's Degree in Computer Engineering at the University of Bologna.
Game Player for Fundamentals of Artificial Intelligence and Knowledge Representation class at @unibo
Artificial Intelligence that plays Tablut
Hybrid Reinforcement Learning and minimax agent for Tablut game. Combines PPO trained value networks with alpha beta search for competitive play.
A simple implementation of Tablut board game in Java (JavaFX)
Autonomous intelligent player for the ancient game Tablut. This project was developed for the university Tablut Challenge organized by AI@unibo Research Group.
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