A checkers reinforcement learning AI, and all the tools needed to train it.
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Updated
May 30, 2020 - Python
A checkers reinforcement learning AI, and all the tools needed to train it.
A game of checkers written using minmax algorithm and alpha-beta pruning.
Board Game Reinforcement Learning using AlphaZero method. including Makhos (Thai Checkers), Reversi, Connect Four, Tic-tac-toe game rules
Minmax (minimax) algorithm with Alpha-Beta (𝛼−𝛽, ab) Pruning optimization for the Checkers (Draughts) game in Python 3. Same minimax algorithm works for chess, tic tac toe or similar games.
Implementation of checkers (draughts) strategy board game with AI based bot
A checkers library with modern web GUI, Supprots multiple variants of game.
Download helper for board games (chess, draughts, go and mill) - Convert URL to PGN/KIF/PDN/SGF/TXT
A bridge between Lidraughts API and draughts engines
Python+Gtk3 Dames game.
Mirror of Feike Boomstra's international draughts engine Horizon
A PyTorch implementation of AlphaGo Zero applied to Draughts
This GitHub repository hosts a Python implementation of the classic game of checkers (also known as draughts) with an artificial intelligence opponent. The AI player is powered by the minimax algorithm with alpha-beta pruning, making it a formidable adversary for players looking to challenge their skills.
A Simple Checkers GUI made with Tkinter
Artificial Agent System for Neuro-Draught systems
neuroevolution on the game of draughts
Example usage of the hometrainer library
Checkers agents - containing a playable checkers game and intelligent agent that makes use of the minimax algorithm with alpha-beta pruning
Russian Halma Draughts Game
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