EconPapers    
Economics at your fingertips  
 

Reference Points and Learning

Alan Beggs

No 767, Economics Series Working Papers from University of Oxford, Department of Economics

Abstract: Abstract This paper studies learning when agents evaluate outcomes in comparison to a reference point. It shows that certain models of reinforcement learning lead toclasses of recursive preferences.

Keywords: Reference points; Reinforcement Learning; Recursive Preferences (search for similar items in EconPapers)
JEL-codes: D83 D87 (search for similar items in EconPapers)
Date: 2015-11-20
New Economics Papers: this item is included in nep-mic and nep-upt
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://ora.ox.ac.uk/objects/uuid:48cd5b18-37d1-4108-9ba7-959c31e36de4 (text/html)

Related works:
Journal Article: Reference points and learning (2022) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oxf:wpaper:767

Access Statistics for this paper

More papers in Economics Series Working Papers from University of Oxford, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Anne Pouliquen ( this e-mail address is bad, please contact ).

 
Page updated 2025-03-31
Handle: RePEc:oxf:wpaper:767