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The successor representation in human reinforcement learning | ResearchHub
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The successor representation in human reinforcement learning
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Authors
Ida Momennejad
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Ida Momennejad
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Evan Russek
3 more
•
Samuel Gershman
Published
August 25, 2017
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Journal
Nature Human Behaviour
Topics
Computer Science
Machine Learning
Mathematics
Physics
Economics
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DOI
10.1038/s41562-017-0180-8
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Supporters
Support the authors with ResearchCoin
Tip RSC
Journal
Nature Human Behaviour
Topics
Computer Science
Machine Learning
Mathematics
Physics
Economics
Show all topics
DOI
10.1038/s41562-017-0180-8
Other Formats
PDF
