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Facebook Open-Sources Game Playing AI ReBeL

by Facebook AI Research (FAIR) published a paper on Recursive Belief-based Learning (ReBeL), their new AI for playing imperfect-information games that can defeat top human players in poker. The algorithm combines reinforcement learning (RL) with state-space search and converges to a Nash equilibrium for any two player zero sum game. Code for training the algorithm to play Liars Dice has been open-sourced. FAIR researchers Noam Brown and Anton Bakhtin gave an overview of the system in a blog po...
United States Noam Brown Dong Kim Anton Bakhtin Facebook Ai Research Recursive Belief Based Learning
Source: infoq.com

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