WIP Chess Engine
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Updated
Jul 17, 2024 - Rust
WIP Chess Engine
A C++ project in which you can play chess against an AI that uses alpha-beta pruning to predict the optimal move.
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.
This project uses computer vision techniques to detect objects on a chessboard. The data are converted into an 8x8 numpy matrix which is passed to the minimax algorithm to suggest a move.
Tic-Tac-Toe Game with an unbeatable AI using Minimax Algorithm
A LibGDX based Parallel AI Chess Game playable on many devices from Level 1 to Level 10
Bots for the board game quoridor implemented using four algorithms: minimax, minimax with alpha beta pruning, expectimax and monte carlo tree search.
Console version of the pen and paper game Obstruction with the Minimax algorithm.
Ai agent for pacman
An AI for a modified Reversi version. The AI works with a game server that manages the game (https://github.com/marcluque/Reversi-Server)
A multi-algorithm chess game that aims to teach AI concepts through experimentation. Users can select from four algorithms to compete against, as well set the search depth.
Resources for the SOC project Queen's Gambit (IITB). Mentors: Aditya A, Aryan K, Kunal C
MiniMax with Alpha-Beta pruning and Monte-Carlo Tree Search implementations for the board game Hex
A web-based implementation of connect four
Project I - HUST: Chess game with a Deep learning Bot trained on public data
Tic-Tac-Toe
Russian checkers on C# with mini-max and alpha-beta pruning
Chess game with an AI engine developed using the PyGame module
基于qt开发的不围棋小游戏
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