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We present AlphaChute: a state-of-the-art algorithm that achieves superhumanperformance in the ancient game of Chutes and Ladders. We prove that ouralgorithm converges to the Nash equilibrium in constant time, and therefore is-- to the best of our knowledge -- the first such formal solution to this game.Surprisingly, despite all this, our implementation of AlphaChute remainsrelatively straightforward due to domain-specific adaptations. We provide thesource code for AlphaChute here in our Appendix.

Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search