A recent paper published in Machine Learning describes an entire category of games where the method used to train AlphaGo and AlphaChess fails. The games in question can be remarkably simple, as exemplified by the one the researchers worked with: Nim, which involves two players taking turns removing matchsticks from a pyramid-shaped board until one is left without a legal move.
### "Imagine a World Where..."
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Немецкий чиновник отказался участвовать в выборах и выиграл их14:47。华体会官网对此有专业解读
Москвичам пообещали тепло17:31