New AlphaZero Paper Explores Chess Variants

In a new paper from DeepMind, this time co-written by 14th world chess champion Vladimir Kramnik, the self-learning chess engine AlphaZero is used to explore the design of different variants of the game of chess, with different sets of rules. The paper is titled Assessing Game Balance with AlphaZero

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PDF] Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

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