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othello-danyo

v1.0.4

Published

Othello utility with min/max and reinforcement learning algorithms

Downloads

11

Readme

Othello

Othello is a Node.js implementation of the classic board game Othello (also known as Reversi). This package includes game logic, a Minimax AI, and reinforcement learning capabilities.

Features

  • Full Othello game implementation
  • Minimax algorithm for AI decision-making
  • Reinforcement learning (Q-learning) for AI training
  • Board representation using FEN notation

Installation

You can install this package using npm:

npm install othello-danyo

Usage

Importing the Module

const Othello = require('othello-danyo');

Creating a Game Instance

const game = new Othello();
console.log(game.board); // Prints the initial board

Checking Valid Moves

const validMoves = game.getValidMoves(game.board, 1); // Get valid moves for player 1
console.log(validMoves);

Making a Move

const [row, col] = [2, 3];
game.makeMove(game.board, row, col, 1);
console.log(game.board);

Checking for Game Over

if (game.gameOver(game.board)) {
    console.log("Game Over!");
}

Using Minimax AI

const [bestRow, bestCol] = game.minimaxDecision(game.board, 1);
console.log(`Best move for player 1: (${bestRow}, ${bestCol})`);

Training with Reinforcement Learning

const [qTableWhite, qTableBlack] = game.train(game.board, 1000);
console.log("Training complete!");

Board Representation (FEN Notation)

The game board is represented as a string in FEN notation, where:

  • b represents black pieces
  • w represents white pieces
  • Numbers represent consecutive empty spaces
  • / separates rows
  • The last character indicates the current player(b or w)

Example:

"bbbbbbbb/bbbbbbbb/bbbbbbbb/bbbbbbbb/bbbbbbbb/bbbbbbbb/bbbbbbbb/wwwwwwww w"

License

This project is licensed under the MIT License.