32 Open source projects that are alternatives of or similar to MyAlphaGoZeroOnConnect4

Solving board games like Connect4 using Deep Reinforcement Learning

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A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

alphaGoZero论文的实现

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

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Deep Learning big homework of UCAS

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This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

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AU_Recognition based on CKPlus/CK database

Unofficial pytorch implementation of ReZero in ResNet

Caffe Wide-Residual-Network (WRN) Generator

Urban building extraction in Daejeon region using Modified Residual U-Net (Modified ResUnet) and applying post-processing.

Quoridor AI based on Monte Carlo tree search

Monte Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space and building a search tree accordingly. It has already had a profound impact on Artificial Intelligence (AI) approaches for domains that can be represented as trees of sequential decisions, particularly games …

Deep active inference agents using Monte-Carlo methods

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UCThello - a board game demonstrator (Othello variant) with computer AI using Monte Carlo Tree Search (MCTS) with UCB (Upper Confidence Bounds) applied to trees (UCT in short)

A board game framework, focused not on graphics or user interfaces, but on artificial players design, implementation and testing.

A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.

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Chess reinforcement learning by AlphaGo Zero methods.

ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

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.

Connect4 reinforcement learning by AlphaGo Zero methods.

SAI: a fork of Leela Zero with variable komi.

Machine learning bot for ultimate tic-tac-toe based on DeepMind's AlphaGo Zero paper. C++ and Python.

alphaGo版本的五子棋(gobang, gomoku)

Board Game Reinforcement Learning using AlphaZero method. including Makhos (Thai Checkers), Reversi, Connect Four, Tic-tac-toe game rules