Showing 1-9 of 9 projects
A high-performance Go engine for the game of Go, modeled after the AlphaGo Zero paper.
A clean implementation of the AlphaZero algorithm for playing various games like Othello, Gomoku, and TicTacToe.
An implementation of the AlphaZero algorithm for the classic board game Gomoku (Five in a Row)
An open-source platform for game research and reinforcement learning experimentation.
Go AI program implementing AlphaGo Zero paper for developers
An implementation of the MuZero reinforcement learning algorithm for general-purpose use cases.
A reusable, open-source library for building AI-powered Go game agents in a readable manner.
A Python library for automated neural architecture search, enabling AI-powered model discovery.
This repository contains code and material for a book on deep learning and the game of Go, focused on the AlphaGo and AlphaGo Zero algorithms.
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