New AlphaZero Paper Explores Chess Variants
Por um escritor misterioso
Last updated 23 outubro 2024
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
PDF) Brick Tic-Tac-Toe: Exploring the Generalizability of AlphaZero to Novel Test Environments
DeepMind's AlphaZero AI Helps Design New Chess Rules, by Chintan Trivedi, deepgamingai
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AlphaZero (And Other!) Chess Variants Now Available For Everyone
Echo Chess: The Quest for Solvability
Kramnik And AlphaZero: How To Rethink Chess
New AlphaZero Paper Explores Chess Variants
DeepMind's AlphaZero AI Helps Design New Chess Rules
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