Predictive representations can link model-based reinforcement learning to model-free mechanisms

• Evan M. Russek ,

  Contributed equally to this work with: Evan M. Russek, Ida Momennejad

  Roles Conceptualization, Formal analysis, Writing – original draft, Writing – review & editing

  * E-mail: emr443@nyu.edu

  Affiliation Center for Neural Science, New York University, New York, NY, United States of America

  http://orcid.org/0000-0002-2929-6912

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• Ida Momennejad ,

  Contributed equally to this work with: Evan M. Russek, Ida Momennejad

  Roles Conceptualization, Writing – review & editing

  Affiliation Princeton Neuroscience Institute and Department of Psychology, Princeton University, Princeton, NJ, United States of America

  ⨯
• Matthew M. Botvinick,

  Roles Conceptualization, Writing – review & editing

  Affiliation DeepMind, London, United Kingdom and Gatsby Computational Neuroscience Unit, University College London, United Kingdom

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• Samuel J. Gershman,

  Roles Conceptualization, Writing – review & editing

  Affiliation Department of Psychology and Center for Brain Science, Harvard University, Cambridge, MA, United States of America

  http://orcid.org/0000-0002-6546-3298

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• Nathaniel D. Daw

  Roles Conceptualization, Writing – original draft, Writing – review & editing

  Affiliation Princeton Neuroscience Institute and Department of Psychology, Princeton University, Princeton, NJ, United States of America

  http://orcid.org/0000-0001-5029-1430

  ⨯