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, Model Predictive, and Adaptive Control, Lecture at KTH

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

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

ZeroBias: A Lesson from AlphaZero

Abby Seneor on LinkedIn: #ai #ethicalai #nlp #ml #makeavideo

Lessons from AlphaZero for Optimal, by Dimitri P. Bertsekas

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

Lessons from AlphaZero for Optimal, by Dimitri P. Bertsekas

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

PDF) AlphaZero-What's Missing?

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

AlphaGo Zero – How and Why it Works – Tim Wheeler