/blokus

Blokus game implemented in Python

Primary LanguagePython

Project Title: Deep Learning with Blokus Author : Savanna Endicott Date: September 13th 2017

Packages Used: Tensorflow 1.3.0 numpy 1.13.1

Game Classes:

  • Board
  • GameEngine
  • Move
  • Piece
  • Display : NoDisplay, CLIDisplay
  • Players : AlphaBetaAI, RandomPlayer, NNPlayer

Neural Network Classes:

  • NNPlayer
  • features.py contains methods to create input features and useful/reusable deep learning methods
  • LinearModel
  • Evaluator

Testing:

  • run Game.py

    • options in the main function are in comments
    • Can be used to play out games with or without a display
    • Can be used to play games with all random players (MUCH faster), or including various players

  • run features.py

    • first, run Game.py if you haven't yet this day (has to be done at least once the day you run features.py, looks inside that testing folder)
      • will create a game under today's directory
    • then run features
    • will run each state of the game before a move through the feature creating methods
    • keeps track of results
    • outputs the input matrices of state/result to supervised learning in the form of numpy vectors
    • works with any board size (specify in game.py when you play a game, then give features.py that game id
    • if you want to see the board as the game is replayed, comment out the board drawing (see the file for instructions)