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Chess's New Best Player Is A Fearless, Swashbuckling Algorithm

@machinelearnbot

Chess is an antique, about 1,500 years old, according to most historians. As a result, its evolution seems essentially complete, a hoary game now largely trudging along. That's not to say that there haven't been milestones. In medieval Europe, for example, they made the squares on the board alternate black and white. In the 15th century, the queen got her modern powers.1


How AlphaZero Works

#artificialintelligence

Recently I posted about the phenomenal performance of the AlphaZero algorithm in computer chess. For the first time in history, an algorithm displayed human-like understanding of chess. AlphaZero seemed to understand what moves were best and spent its time focusing only on them. It didn't mechanically crunch through millions of possible positions, run out of time, and then select the best move. The best moves emerged from its computer neural network, like a human grandmaster.


An imprisoned bishop Highly Evolved Leela vs Mighty Stockfish TCEC Season 17 Rd 34

#artificialintelligence

FIDE CM Kingscrusher goes over a game featuring An imprisoned bishop Highly Evolved Leela vs Mighty Stockfish TCEC Season 17 Rd 34 Play turn style chess at http://bit.ly/chessworld FIDE CM Kingscrusher goes over amazing games of Chess every day, with a focus recently on chess champions such as Magnus Carlsen or even games of Neural Networks which are opening up new concepts for how chess could be played more effectively. The Game qualities that kingscrusher looks for are generally amazing games with some awesome or astonishing features to them. Many brilliant games are being played every year in Chess and this channel helps to find and explain them in a clear way. There are classic games, crushing and dynamic games. There are exceptionally elegant games.


A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

Science

Computers can beat humans at increasingly complex games, including chess and Go. However, these programs are typically constructed for a particular game, exploiting its properties, such as the symmetries of the board on which it is played. Silver et al. developed a program called AlphaZero, which taught itself to play Go, chess, and shogi (a Japanese version of chess) (see the Editorial, and the Perspective by Campbell). AlphaZero managed to beat state-of-the-art programs specializing in these three games. The ability of AlphaZero to adapt to various game rules is a notable step toward achieving a general game-playing system.


AlphaZero Annihilates World's Best Chess Bot After Just Four Hours of Practicing

#artificialintelligence

A few months after demonstrating its dominance over the game of Go, DeepMind's AlphaZero AI has trounced the world's top-ranked chess engine--and it did so without any prior knowledge of the game and after just four hours of self-training.