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

Lessons from AlphaZero for Optimal, by Dimitri P. Bertsekas

ZeroBias: A Lesson from AlphaZero

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

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

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

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

AlphaGo Zero – How and Why it Works – Tim Wheeler

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

AlphaZero Explained · On AI

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 AlphaZero for Optimal, by Dimitri P. Bertsekas

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

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