Game Engine Learning from Video

Abstract

Intelligent agents need to be able to make predictions about their environment. In this work we present a novel approach to learn a forward simulation model via simple search over pixel input. We make use of a video game, Super Mario Bros., as an initial test of our approach as it represents a physics system that is significantly less complex than reality… (More)
DOI: 10.24963/ijcai.2017/518

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