AlphaZero: Shedding new light on the grand games of chess, shogi and Go - Learning Actors

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

DeepMind released a full paper chronicling its AlphaStar ladder run, post the funniest findings here : r/starcraft

AlphaZero paper peer-reviewed is available · Issue #2069 · leela-zero/leela-zero · GitHub

AlphaZero

AlphaZero: Shedding new light on the grand games of chess, shogi and Go

Mastering chess and shogi by self-play with a general reinforcement learning algorithm

Inside the (deep) mind of AlphaZero

Mastering chess and shogi by self-play with a general reinforcement learning algorithm

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AlphaZero paper peer-reviewed is available · Issue #2069 · leela-zero/leela-zero · GitHub

Reza Zadeh on X: AlphaZero: AlphaGo Zero generalized to more games. Can beat world-champion algorithms for Chess, Shogi, & Go in 24 hours of self-play. Impressive: reuses the same hyper-parameters for all