PDF] Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

This paper generalises the approach into a single AlphaZero algorithm that can achieve, tabula rasa, superhuman performance in many challenging domains, and convincingly defeated a world-champion program in each case. The game of chess is the most widely-studied domain in the history of artificial intelligence. The strongest programs are based on a combination of sophisticated search techniques, domain-specific adaptations, and handcrafted evaluation functions that have been refined by human experts over several decades. In contrast, the AlphaGo Zero program recently achieved superhuman performance in the game of Go, by tabula rasa reinforcement learning from games of self-play. In this paper, we generalise this approach into a single AlphaZero algorithm that can achieve, tabula rasa, superhuman performance in many challenging domains. Starting from random play, and given no domain knowledge except the game rules, AlphaZero achieved within 24 hours a superhuman level of play in the games of chess and shogi (Japanese chess) as well as Go, and convincingly defeated a world-champion program in each case.

Acquisition of chess knowledge in AlphaZero

PDF] Reinforcement Learning for Extended Reality: Designing Self-Play Scenarios

AlphaZero: A General Reinforcement Learning Algorithm that Masters Chess, Shogi and Go through Self-Play

AlphaZero: A General Reinforcement Learning Algorithm that Masters Chess, Shogi and Go through Self-Play

PDF] Giraffe: Using Deep Reinforcement Learning to Play Chess

Shogi - Wikipedia

PDF) Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

AlphaZero Research Paper Summary, PDF, Machine Learning

AlphaZero: DeepMind's New Chess AI

Computer chess - Wikipedia

Mastering construction heuristics with self-play deep reinforcement learning

Mastering chess and shogi by self-play with a general reinforcement learning algorithm

DeepMind Achieves Holy Grail: An AI That Can Master Games Like Chess and Go Without Human Help - IEEE Spectrum

Mastering the game of Go with deep neural networks and tree search

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