Article

Imitation as a model-free process in human reinforcement learning

2019-10-08

Abstract excerpt

While there is not doubt that social signals affect human reinforcement learning, there is still no consensus about their exact computational implementation. To address this issue, we compared three hypotheses about the algorithmic implementation of imitation in human reinforcement learning. A first hypothesis, decision biasing , postulates that imitation consists in transiently biasing the learner’s action selec...

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Literature Corpus work: 0ba32566-38f5-50a6-9927-ed0c338076bc
DOI: 10.1101/797407

Open publication

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