Modeling sensory-motor decisions in natural behavior.
Although a standard reinforcement learning model can capture many aspects of reward-seeking behaviors, it may not be practical for modeling human natural behaviors because of the richness of dynamic environments and limitations in cognitive resources. We propose a modular reinforcement learning mode...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2018-10-01
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Series: | PLoS Computational Biology |
Online Access: | http://europepmc.org/articles/PMC6219815?pdf=render |