Article

An inductive bias for slowly changing features in human reinforcement learning

2024-01-24

Abstract excerpt

Identifying goal-relevant features in novel environments is a central challenge for efficient behaviour. We asked whether humans address this challenge by relying on prior knowledge about common properties of reward-predicting features. One such property is the rate of change of features, given that behaviourally relevant processes tend to change on a slower timescale than noise. Hence, we asked whether humans are...

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Literature Corpus work: 9bb268df-284a-589f-8323-5194f6f9e424
DOI: 10.1101/2024.01.24.576910

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