AlphaZero: Shedding new light on chess, shogi, and Go - Google
Por um escritor misterioso
Last updated 10 novembro 2024
In late 2017 we introduced AlphaZero, a single system that taught itself from scratch how to master the games of chess, shogi (Japanese chess), and Go, beating a world-champion program in each case. We were excited by the preliminary results and thrilled to see the response from members of the chess community, who saw in AlphaZero’s games a ground-breaking, highly dynamic and “unconventional” style of play that differed from any chess playing engine that came before it.
DeepMind's AlphaZero crushes chess
AlphaZero: The AI from Google which mastered Chess in 4 hours, by University of Toronto Machine Intelligence Team
AlphaZero: DeepMind's AI Works Smarter, not Harder
Shattering the Glass Ceiling: AlphaZero's Breakthrough in Artificial Intelligence and Chess
AlphaZero: Four Hours to World Class from a Standing Start - Breakfast Bytes - Cadence Blogs - Cadence Community
Deep Learning - Chessprogramming wiki
Belated Happy Birthday AlphaZero
Deepmind's AlphaZero shows unprecedented growth in AI, masters 3 different games
Google's self-learning AI AlphaZero masters chess in 4 hours
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
Mastering Stratego, the classic game of imperfect information - Google DeepMind
AlphaZero by DeepMind (Chess, Go, Shogi) - Artificial Intelligence at UCI
Alex Sicoe (@AlexSicoe) / X
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