alpha-beta
There are 0 repository under alpha-beta topic.
dimitrijekaranfilovic / checkers
A game of checkers written using minmax algorithm and alpha-beta pruning.
Language:Python 39bcorfman / raven-checkers
An open-source checkers game with a computer-based AI, written with Python and Tkinter.
Language:Python 25DavidHurst / MiniMax-TicTacToe-Java
MiniMax algorithm applied to Tic Tac Toe.
Language:Java 25- Language:Python 22
Sazgr / peacekeeper
Strong UCI Chess Engine written in C++17 (Not C, GitHub!!!)
Language:C 21- alpha-beta-pruning-minmax-checkers
njmarko / alpha-beta-pruning-minmax-checkers
Minmax (minimax) algorithm with Alpha-Beta (𝛼−𝛽, ab) Pruning optimization for the Checkers (Draughts) game in Python 3. Same minimax algorithm works for chess, tic tac toe or similar games.
Language:Python 19 pchampio / othello-prolog
:scroll: A fully functional Othello (Reversi) game, with several AIs, made in prolog for swipl.
Language:Prolog 15- Language:Go 14
loyio / gobangGameABN
A gobang AI with Negamax and alpha beta pluning
Language:Python 11- Quoridor
pavlosdais / Quoridor
A terminal implementation of the game Quoridor with an engine
Language:C 11 HxnDev / AI-Based-Chess-Game-Using-Minimax-and-Alpha-Beta-Prunning
The goal of this project was to make a User vs AI chess game, such that user makes whichever (legal) move they like and in turn, the AI performs the best move it can find. The game ends when either the user or the AI enters checkmate or stalemate state - or if you quit forcibly :)
Language:Python 6jdermont / YaPaperSoccer
A single player source code for Ya Paper Soccer - paper soccer for Android.
Language:C++ 6- Language:C++ 6
nadeem4 / chess_engine_using_python
Chess Engine Implementation using Minmax, Alpha-Beta Pruning, and Quiescence Search Algorithm.
Language:Python 6superchessengine / sce
next-gen AI enabled chess engine.
Language:C++ 5zacharyfmarion / React-Chess
A small app that uses websockets to play a game of chess vs two AI's
Language:Python 5- Prolog-Othello-Game
cwelt / Prolog-Othello-Game
Othello Game Application Implemented with Alpha-Beta Algorithm in SWI-Prolog's Logic Programming Language :chess_pawn:
Language:Prolog 4 jingege315 / gobang_alphazero
I am interested in gobang,so I am going to use python to draw GUI and program a powerful AI to have fun! I will implement my idea by alpha-beta algorithm and alphago-zero algorithm.
Language:Python 4marcluque / TicTacToe-AI
A simple AI for TicTacToe with Alpha-Beta pruning and binary encoding for the board
Language:Java 4MatteoFasulo / Tablut
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
Language:Python 4simone-rizzo / TicTacToeAIAgent
Invincible TicTacToe AI agent
Language:Python 4hoangchunghien / ai-isolation-game
Apply AI algorithms to implement an smart game playing agent that can play Isolation game.
Language:Python 3- Language:Java 3
eminarican / tictac
tictactoe ai implementation using minimax with αβ-pruning
Language:C 2- Language:Rust 2
- Language:C 2
szelinskip / nine_mens_morris
Nine men's morris game implementation with computer AI based on minmax algorithm (enhanced with alpha beta prunning) made for AI course at Wroclaw University of Science And Technology. Implementation is done in C++ with QT lib serving as GUI.
Language:C++ 2tannousmarc / scotland-yard-AI
Artificial Intelligence for the board game "Scotland Yard".
Language:Java 2virajvaidya / CAPM
Computations of alpha and beta for tech stocks on the Australian Stock Exchange using the Capital Asset Pricing Model.
Language:Jupyter Notebook 2efecanxrd / Othello-Game
Othello Game (Also known as Reversi). It was created with the Minimax algorithm (Alpha-Beta pruning). Allows Human-AI, AI-AI, RandomPlayer-AI, RandomPlayer-Human interplay
Language:Python 1Giang-Dang / gomoku-AB-pruning
A pet project after learning alpha beta pruning
Language:Python 1- Language:C 1
nishagandhi / MultiAgent-Pacman
In this project, agents are designed for the classic version of Pacman, including ghosts. Mini-max, Alpha-Beta pruning, Expectimax techniques were used to implement multi-agent pacman adversarial search.
Language:Python 1- Language:C++ 1
seanstappas / dynamic-connect-4
Agent capable of playing Dynamic Connect-4 for ECSE-526: Artificial Intelligence at McGill University.
Language:Python 1tomcant / tic-tac-toe-ai
An unbeatable AI for Tic-tac-toe. Uses the Alpha-beta optimised Minimax algorithm.
Language:C++ 1
