Online learning and mining human play in complex games

Abstract

We propose a hybrid model for automatically acquiring a policy for a complex game, which combines online learning with mining knowledge from a corpus of human game play. Our hypothesis is that a player that learns its policies by combining (online) exploration with biases towards human behaviour that's attested in a corpus of humans playing the game will… (More)
DOI: 10.1109/CIG.2015.7317942

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