Amê: An Environment to Learn and Analyze Adversarial Search Algorithms Using Stochastic Card Games

O prof. Eduardo Ogasawara apresentou o trabalho intitulado "Amê: An Environment to Learn and Analyze Adversarial Search Algorithms Using Stochastic Card Games" no ACM Symposium of Applied Computing (SAC 2015).…

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