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Novelty and Inductive Generalization in Human Reinforcement Learning
Samuel J. Gershman,
Yael Niv
Psychology
Princeton Language and Intelligence (PLI)
Princeton Neuroscience Institute
Research output
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Contribution to journal
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Article
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peer-review
62
Scopus citations
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Keyphrases
Inductive Generalization
100%
Inductive Knowledge
33%
Abstract Knowledge
33%
Hierarchical Bayesian Inference
33%
Response to Novelty
33%
Computer Science
Reinforcement Learning
100%
Learning Algorithm
25%
Decision Maker
25%
temporal difference learning
25%
Bayesian Model
25%
Neuroscience
Reinforcement Learning
100%
Dopaminergic
25%
Human Cognition
25%
Psychology
Learning Algorithm
100%
Human Cognition
50%