Training AlphaZero for 700,000 steps. Elo ratings were computed from

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm – arXiv Vanity

Generally capable agents emerge from open-ended play - Google DeepMind

Planning with a Model: AlphaZero

Figure 1 from Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Science Magazine - December 7, 2018 - A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

AlphaZero: Shedding new light on the grand games of chess, shogi and Go [DM releases followup paper on AlphaZero, +100 shogi games, +100 chess games, and video discussion] : r/reinforcementlearning

PDF) A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm – arXiv Vanity

DeepMind's AlphaZero beats state-of-the-art chess and shogi game engines

Checkmate for Traditional Chess? - Nekst-Online

From Zero to Master in Hours: AlphaZero Accelerates Reinforcement Learning

Generally capable agents emerge from open-ended play - Google DeepMind