Oware and Ouril - traditional African Mancala games with computer AI using Monte Carlo Tree Search (MCTS) with UCB (Upper Confidence Bounds) applied to trees (UCT in short)
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Updated
Mar 30, 2018 - HTML
Oware and Ouril - traditional African Mancala games with computer AI using Monte Carlo Tree Search (MCTS) with UCB (Upper Confidence Bounds) applied to trees (UCT in short)
Mancala board game, written in python. The rule is Kalah and can be extended.
TUI Mancala game written in Golang.
Implementation of Mancala Board AI based Game using Mini-Max Algorithm (Alpha Beta Pruning) . It Allows both (i) Player Vs Player (ii) Player Vs AI(Bot) Gameplay .
Gebeta - mancala game with AI opponent
Mancala implementation for Ludorum
This Mancala game project was made with Spring-boot and ReactJS. It focused specifically on the backend using DTO pattern. The mancala games are a family of two-player turn-based strategy board games played with small stones, beans, or seeds and rows of holes or pits in the earth, a board or other playing surface. The objective is usually to cap…
The mancala game consists of two-player, which is a turn-based strategy board games. There are two modes i) player vs player ii)AI Bot vs player. AI Bots works on Mini Max Algorithm
Assignments of Artificial Intelligence Sessional Course CSE 318 in Level-3, Term-2 of CSE, BUET
Given that the game of Mancala does not contain any inherent random features in its gameplay (besides player choice), I want to know what the best possible strategies are when playing against random and non-random players. This repository provides a Python module for simulating Mancala games and then analyzes which strategies win and how often.
MANCALA Game for Bool.com
Monte Carlo Tree Search for {Tic Tac Toe, Connect 4, Mancala} implemented in Haskell.
deep reinforcement learning for a modified version of the board game Bao la kujifunza
A new version of my mancala AI project, rebuilt from the ground up in C++ utilizing object oriented design principles.
Mangala is a Turkish strategy game played by two players. The game board consists of 12 small pits, 6 for each player, and a large storehouse where each player collects their stones. The game is played with a total of 48 stones.
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