AlphaZero Explained

AlphaZero is a reinforcement learning agent for playing board games such as Go, chess, and shogi.

AlphaZero Explained · On AI

Lessons from AlphaZero for Optimal, Model Predictive, and Adaptive Control

Simple Alpha Zero

Chess for All Ages: AlphaZero Match Conditions

AlphaZero SpringerLink

Inside the (deep) mind of AlphaZero

AlphaGo Zero – How and Why it Works – Tim Wheeler

How deep can an alpha zero chess think? - Quora

Acquisition of chess knowledge in AlphaZero

AlphaGo Zero Explained In One Diagram, by David Foster, Applied Data Science

AlphaZero Chess: How It Works, What Sets It Apart, and What It Can Tell Us, by Maxim Khovanskiy

Free Course: Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess (Paper Explained) from Yannic Kilcher

Mastering the game of Go without human knowledge

AlphaGo Zero – How and Why it Works – Tim Wheeler

AlphaGo Zero Tutorial Part 3 - Neural Network Architecture