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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

License: MIT License

Python 100.00%
alpha-beta alpha-beta-algorithm alpha-beta-pruning alphabeta-minimax-search minimax minimax-algorithm minimax-alpha-beta-pruning alpha-beta-search minimax-agent minimax-search

othello-game's Introduction

Othello Game

EfecanLogo

Othello Game (Also known as Reversi) It was created with the Minimax algorithm (Alpha-Beta pruning).

This game allows Human-AI, AI-AI, RandomPlayer-AI, RandomPlayer-Human interplay

XhW

Setup This Project

Install Python3x

  • I recommend that you install Python3.8x

Install Libraries

  • 1 external library was used in the project. You can install the module by typing in the terminal :
pip install func-timeout

Start the game!

python main.py

How this is working?

This is an othello game project using the minimax algorithm (with alpha-beta pruning). Code comments were entered as # comments on each line. In the game I developed, Random Player can play against Human(You), Human(You) against ai, ai aganist ai, randomplayer aganist ai.

  • ai.py: File with AI's algorithm
  • board.py The file from which the board you see in the console is made
  • game.py: The file containing the general gameplay and rule blocks of the game
  • human.py: The human game algorithm. It takes input from you etc.
  • main.py: The main file. Everything comes together here. You have to run this file to start the game
  • player.py: Motion functions etc.
  • RandomPlayer.py: Algorithm for random motion play

๐Ÿ’– Don't forget to star!

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