Scalable decision-making for games of imperfect information
Real-world decision-making generally involves hidden information, that is, information that is unknown to one agent but possessed by another. Unfortunately, the presence of large amounts of hidden information renders established reinforcement learning and search approaches ineffective. Even with multimillion-dollar ind...
Samuel Sokota, E. Vinitsky, Heng-Yuan Hu et al.
· Nature · 11 citations
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