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

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

Energies, Free Full-Text

Deep Reinforcement Learning PDF, PDF, Machine Learning

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

From Conceptualization to Clarification: Unveiling the Essence of SHOBIP's Variables

Energies, Free Full-Text

Lessons from AlphaZero for Optimal, by Dimitri P. Bertsekas

PDF) A Systematic Study on Reinforcement Learning Based Applications

Energies, Free Full-Text

ZeroBias: A Lesson from AlphaZero

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

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