New AlphaZero Paper Explores Chess Variants

In a new paper from DeepMind, this time co-written by 14th world chess champion Vladimir Kramnik, the self-learning chess engine AlphaZero is used to explore the design of different variants of the game of chess, with different sets of rules. The paper is titled Assessing Game Balance with AlphaZero

Reimagining Chess with AlphaZero, February 2022

AlphaZero (And Other!) Chess Variants Now Available For Everyone

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

The AlphaZero Papers: What You Need To Know!?, The recently published Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets to Chess paper has the world talking about different

AlphaZero really is that good

Acquisition of chess knowledge in AlphaZero

IJERPH, Free Full-Text

Create AI for your Own Board Game From Scratch — AlphaZero-Part 3, by Haryo Akbarianto Wibowo

New AlphaZero Paper Explores Chess Variants

Kramnik And AlphaZero: How To Rethink Chess

AI ruined chess. Now it's making the game beautiful again

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

PDF) Acquisition of chess knowledge in AlphaZero