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

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

What can we learn from AlphaZero in chess (given the new games released)? - Quora

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

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

Lessons From Alpha Zero (part 6) — Hyperparameter Tuning, by Anthony Young, Oracle Developers

Lessons From AlphaZero (part 4): Improving the Training Target, by Vish (Ishaya) Abrams, Oracle Developers

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

Lessons From Alpha Zero (part 5): Performance Optimization, by Anthony Young, Oracle Developers

Lessons from AlphaZero for Optimal, by Dimitri P. Bertsekas

PDF) A Systematic Study on Reinforcement Learning Based Applications