Nature Communications (Aug 2021)

Linear reinforcement learning in planning, grid fields, and cognitive control

  • Payam Piray,
  • Nathaniel D. Daw

DOI
https://doi.org/10.1038/s41467-021-25123-3
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 20

Abstract

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Models of decision making have so far been unable to account for how humans’ choices can be flexible yet efficient. Here the authors present a linear reinforcement learning model which explains both flexibility, and rare limitations such as habits, as arising from efficient approximate computation