Credit assignment to state-independent task representations and its relationship with model-based decision making.

ABSTRACT: Model-free learning enables an agent to make better decisions based on prior experience while representing only minimal knowledge about an environment's structure. It is generally assumed that model-free state representations are based on outcome-relevant features of the environment. Here, we challenge this assumption by providing evidence that a putative model-free system assigns credit to task representations that are irrelevant to an outcome. We examined data from 769 individuals performing a well-described 2-step reward decision task where stimulus identity but not spatial-motor aspects of the task predicted reward. We show that participants assigned value to spatial-motor representations despite it being outcome irrelevant. Strikingly, spatial-motor value associations affected behavio

SUBMITTER: Shahar N 

PROVIDER: S-EPMC6689934 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature