Google Brain and DeepMind researchers release AI benchmark based on card game Hanabi

What do Montezuma's Revenge, chess, and shogi have in common? They're considered to be "grand challenges" in artificial intelligence (AI) research -- i.e., games that involve elements of complex, nearly human-level problem-solving. But as AI continues to make gains in these and other benchmarks once considered beyond the reach of machines, scientists at Google Brain (Google's AI research division) and Google subsidiary DeepMind are turning their attention to a new domain: the card game Hanabi. In a paper published on the preprint server Arxiv.org Hanabi is deceptively complex, they explain: Its two-to-five-person setting necessitates not only cooperative gameplay, but the ability to reason with one's own mental state about opponents' intentions.