Connect4 reinforcement learning by AlphaGo Zero methods.
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Updated
Apr 5, 2021 - Python
Connect4 reinforcement learning by AlphaGo Zero methods.
AlphaZero implementation for Othello, Connect-Four and Tic-Tac-Toe based on "Mastering the game of Go without human knowledge" and "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm" by DeepMind.
board games for your terminal!
Welcome to Visit https://connect4.club/ — Play Connect 4 Online!
Master Thesis project that provides a training framework for two player games. TicTacToe and Othello have already been implemented.
Visualisation of MCTS in Unity with C# for different games, being created for my third year university project at the University of York
Four-In-A-Row in Flutter
HybridAlpha - a mix between AlphaGo Zero and AlphaZero for multiple games
A browser-based Connect 4 game made with Phaser 3! https://iammanish17.github.io/Connect4/
Connect 4 AI using Monte Carlo Tree Search algorithm.
Connect 4 Game implemented using minimax alpha beta pruning algorithm
AI for the Connect 4 game
Connect 4 game with online multiplayer
Basic AI engine written in C# that implements the alpha–beta pruning algorithm to create two-player, zero-sum games like Tic Tac Toe, Connect 4, or Chess.
Connect 4 is a token game created with Python and module Numpy. Place 4 tokens in a row (vertically, horizontally, or diagonally) before your opponent wins. Single-player against Artificial Intelligence and multiplayer also available.
A multi-agent implementation of the game Connect-4 using MCTS, Minimax and Exptimax algorithms.
AI for the game "Connect Four". Available on PyPI.
University project in the course ICT Seminar 3. Using Tsetlin Machine for Pattern Recognition in the game Connect Four.
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