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) A Systematic Study on Reinforcement Learning Based Applications

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

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PDF) A Systematic Study on Reinforcement Learning Based Applications

Lessons from AlphaZero for Optimal, by Dimitri P. Bertsekas

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

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AlphaZero Explained · On AI

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

AlphaZero Explained · On AI

PDF) A Systematic Study on Reinforcement Learning Based Applications