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Papers headlined that the chess training took only four hours: "It was managed in little more than the time between breakfast and lunch." [3] [17] Wired described AlphaZero as "the first multi-skilled AI board-game champ". [18] AI expert Joanna Bryson noted that Google's "knack for good publicity" was putting it in a strong position against ...
Perhaps the most common type of chess software are programs that simply play chess. A human player makes a move on the board, the AI calculates and plays a subsequent move, and the human and AI alternate turns until the game ends.
While patiently accumulating an advantage may be a beneficial tactic against alpha-beta AIs who play tactically, MCTS-based AIs like AlphaGo may themselves play in this patient strategic manner. [2] Thus deliberately tactical play, which is a bad approach against alpha-beta, becomes a viable anti-computer tatctic against MCTS.
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Leela Chess Zero (abbreviated as LCZero, lc0) is a free, open-source chess engine and volunteer computing project based on Google's AlphaZero engine. It was spearheaded by Gary Linscott, a developer for the Stockfish chess engine, and adapted from the Leela Zero Go engine.
Self-play is used by the AlphaZero program to improve its performance in the games of chess, shogi and go. [2] Self-play is also used to train the Cicero AI system to outperform humans at the game of Diplomacy. The technique is also used in training the DeepNash system to play the game Stratego. [3] [4]
This article documents the progress of significant human–computer chess matches.. Chess computers were first able to beat strong chess players in the late 1980s. Their most famous success was the victory of Deep Blue over then World Chess Champion Garry Kasparov in 1997, but there was some controversy over whether the match conditions favored the computer.