Quoridor AI based on Monte Carlo tree search
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Updated
May 18, 2024 - JavaScript
Quoridor AI based on Monte Carlo tree search
A fast C++ impementation of Monte Carlo Tree Search with abstract classes that a user of this library can extend in order to use it. To demonstrate it I apply it to the game of Quoridor.
Implementation of the board game, made for software programming class at UNIFI
Bots for the board game quoridor implemented using four algorithms: minimax, minimax with alpha beta pruning, expectimax and monte carlo tree search.
A terminal implementation of the game Quoridor with an engine
A software which allow you to play Quoridor game with AI
The first repository
A simple console application for the Quoridor game
An iOS game develop with SwiftUI & Firebase in MVVM with so many excellent features!UI refer to STARLUX、Pokémon GO and Instagram. User could login with many social media accounts and play Quoridor with others on Internet.
A Framework with multiple applications around Quoridor.
A multiplayer version of the board game Quoridor
Java Implementation of the famous board game, Quoridor
Quoridor game implementation packed with a generalized and fully reusable 2-player board game solver AI agent
Pure Java implementation of Quoridor, a strategy game designed by Mirko Marchesi where the goal is to block your opponent's pawn and get your pawn to the other side. https://en.wikipedia.org/wiki/Quoridor
Quoridor two player game
Final project of the Artificial Intelligence course @UniversitaDellaCalabria - A.Y. 2022/2023
Implementation of the Quoridor game
This homework is about Implementing a smart agent to play Quoridor, using Min-max, a heuristic function, Transposition Table and forward pruning. This homework is a part of many projects in a Fundamentals to AI course @ FUM.
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