This article defines the challenge of training neural-networks on specific chess endgames and benchmarking their efficacy against the existing sub-8-man endgame tables. The key tasks are to measure how well they play and to infer higher-order rules and guidelines for play from them.

中文翻译：

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国际象棋残局新闻：神经网络的残局挑战

本文定义了在特定国际象棋残局上训练神经网络的挑战，并针对现有的 8 人残局表对其功效进行基准测试。关键任务是衡量他们玩得有多好，并从中推断出更高阶的游戏规则和指导方针。