Quoridor AI based on Monte Carlo tree search
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Updated
Feb 3, 2023 - 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.
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
An engine simulating the board game `Quoridor` on a terminal
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.
First two labs for GameDev Course
Quoridor game implementation packed with a generalized and fully reusable 2-player board game solver AI agent
A Framework with multiple applications around Quoridor.
The first repository
A Quoridor implementation in Rust, including different AIs
A software which allow you to play Quoridor game with AI
A simple console application for the Quoridor game
let's play Quoridor! minnimax & alpha-beta pruning help us defeat anybody :)
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.
A Quoridor game with a html/js frontend and a rust backend
Implementation of the board game, made for software programming class at UNIFI
A multiplayer version of the board game Quoridor
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