Empirical priors for reinforcement learning models

DOI10.1016/J.JMP.2016.01.006zbMath1359.62500OpenAlexW2281891645MaRDI QIDQ285948

Samuel J. Gershman

Publication date: 19 May 2016

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmp.2016.01.006

zbMATH Keywords

parameter estimationBayesian statisticsmodel comparisonQ-learning

Mathematics Subject Classification ID

Bayesian inference (62F15) Memory and learning in psychology (91E40) Applications of statistics to psychology (62P15)

Related Items (5)

Hierarchical Bayesian models of reinforcement learning: introduction and comparison to alternative methods ⋮ How hierarchical models improve point estimates of model parameters at the individual level ⋮ A hierarchical Bayesian approach to assess learning and guessing strategies in reinforcement learning ⋮ The statistical structures of reinforcement learning with asymmetric value updates ⋮ Thermodynamic integration and steppingstone sampling methods for estimating Bayes factors: a tutorial

Uses Software

• PRMLT

Cites Work

• Unnamed Item
• Constructing informative model priors using hierarchical methods

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