perfect-information-game 0.0.5

Create 2D perfect information board games, and play them with machine learning systems.

Perfect Information Game

Creating 2D perfect information board games, and playing them with machine learning systems.

What's in this repo?

• Implementations for a bunch of board games including Chess, Checkers, Connect 4, Othello (Reversi), and The Game of the Amazons
• Implementations of various algorithms for selecting moves including Minimax (with alpha-beta pruning), Monte Carlo tree search using randomized rollouts, iterative deepening, and policy-value driven Monte Carlo tree search
• Code for generating endgame tablebases for Chess using retrograde analysis
• Code for training neural networks from scratch using self-play reinforcement learning
• Over 4500 lines of Python code and counting
• Some cool chess puzzles that I discovered along the way

Play Against Live Models on my Website

• Connect 4: Easy, Medium, Hard
• Othello: Coming Soon
• Amazons (6x6 Board): Coming Soon

Getting Started

• Ensure Python is installed
• Install requirements:
  pip install -r requirements.txt
• Play a game of Connect 4 against the ai:
  python src/scripts/play_vs_ai.py
• View games files that were generated during training:
  python src/scripts/view_game_file.py
• Switch the active game by uncommenting the corresponding line in src/utils/active_game.py
• For games with multiple versions, select the desired version by opening the corresponding file under src/games/ and uncommenting the corresponding line that starts with CONFIG =

How I Trained the Models

• Connect 4
• Othello (Reversi)
• The Game of the Amazons (6x6 Board)

Resources I Used

• How to Keep Improving When You're Better Than Any Teacher - Iterated Distillation and Amplification
• Multiple Policy Value Monte Carlo Tree Search
• Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
• Introduction to Reinforcement Learning (course by David Silver)
• Parallel Monte-Carlo Tree Search
• A Lock-free Multithreaded Monte-Carlo Tree Search Algorithm
• Time Management for Monte Carlo Tree Search
• Lessons From Alpha Zero (part 5): Performance Optimization
• How much training data do you need?
• Working with Numpy in Cython
• Chess Piece Images
• Chess test cases and more chess test cases
• Chess Position Encoding Scheme