Article

Computational Evidence for Hierarchically-Structured Reinforcement Learning in Humans

2019-08-10

Abstract excerpt

Humans have the fascinating ability to achieve goals in a complex and constantly changing world, still surpassing modern machine learning algorithms in terms of flexibility and learning speed. It is generally accepted that a crucial factor for this ability is the use of abstract, hierarchical representations, which employ structure in the environment to guide learning and decision making. Nevertheless, how we crea...

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Literature Corpus work: aa51e5c4-2748-59eb-bd01-d9215af6ab64
DOI: 10.1101/731752

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