Reinforcement learning: The Good, The Bad and The Ugly

Peter Dayan, Yael Niv

Research output: Contribution to journalReview article

259 Scopus citations

Abstract

Reinforcement learning provides both qualitative and quantitative frameworks for understanding and modeling adaptive decision-making in the face of rewards and punishments. Here we review the latest dispatches from the forefront of this field, and map out some of the territories where lie monsters.

Original languageEnglish (US)
Pages (from-to)185-196
Number of pages12
JournalCurrent Opinion in Neurobiology
Volume18
Issue number2
DOIs
StatePublished - Apr 2008

All Science Journal Classification (ASJC) codes

  • Neuroscience(all)

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