Article

The Neural Architecture of Theory-based Reinforcement Learning

2022-06-16

Abstract excerpt

Humans learn internal models of the environment that support efficient planning and flexible generalization in complex, real-world domains. Yet it remains unclear how such internal models are represented and learned in the brain. We approach this question within the framework of theory-based reinforcement learning, a strong form of model-based reinforcement learning in which the model is an intuitive theory – a ri...

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Literature Corpus work: 3fb8acc4-9ad0-5355-8bbb-aeb6079805e7
DOI: 10.1101/2022.06.14.496001

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