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

♔ Here's an example game of Torpedo Chess, where pawns can move by 1 or 2 squares anywhere on the board! ♔ Read more about #AlphaZero variants here:, By Chess.com

What are the chances that AlphaZero will enter official competitions with other chess engines (e.g. TCEC)? - Quora

PDF) Brick Tic-Tac-Toe: Exploring the Generalizability of AlphaZero to Novel Test Environments

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

AlphaZero Explained · On AI

Game Changer: AlphaZero's Groundbreaking Chess Strategies and the Promise of AI

Chess: Models, code, and papers - CatalyzeX

Mastering Atari, Go, chess and shogi by planning with a learned model

DeepMind's New Milestones on the Road to Artificial General Intelligence - The New Stack

New AlphaZero Paper Explores Chess Variants

Mastering the game of Go without human knowledge

Kero chess bot

Echo Chess: The Quest for Solvability