Task complexity interacts with state-space uncertainty in the arbitration between model-based and model-free learning
The brain dynamically arbitrates between two model-based and model-free reinforcement learning (RL). Here, the authors show that participants tended to increase model-based control in response to increasing task complexity, but resorted to model-free when both uncertainty and task complexity were hi...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2019-12-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-019-13632-1 |