ZeroBias: A Lesson from AlphaZero

Games are the ultimate mini-universe - you know all the rules, there’s a clear winner at the end, you can look back at the end to learn from what went wrong, and if you lose - you can start another round. The real-world problems we want to tackle are a lot more complicated, especially when the rules

ZeroBias: A Lesson from AlphaZero

AIMSPICE TutorialManual, PDF, Spice

Simple Alpha Zero

The purpose of this book is to propose and develop a new conceptual framework for approximate Dynamic Programming (DP) and Reinforcement Learning

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

AlphaZero Explained · On AI

AlphaGo Zero – How and Why it Works – Tim Wheeler

Lessons from AlphaZero for Optimal, by Dimitri P. Bertsekas

AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong - Frontiers

AlphaZero Explained · On AI

AlphaZero Explained · On AI

Inside the mind of a superhuman Go model: How does Leela Zero read ladders? — LessWrong