Journal article
Reference points and learning
- Abstract:
- This paper studies learning when agents evaluate outcomes in comparison to reference points, which may be adjusted in light of experience. It shows that certain models of reinforcement learning, motivated by those popular in machine learning and neuroscience, lead to classes of recursive preferences.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 471.6KB, Terms of use)
-
- Publisher copy:
- 10.1016/j.jmateco.2021.102621
Authors
- Publisher:
- Elsevier
- Journal:
- Journal of Mathematical Economics More from this journal
- Volume:
- 100
- Article number:
- 102621
- Publication date:
- 2021-12-24
- Acceptance date:
- 2021-12-11
- DOI:
- ISSN:
-
0304-4068
- Language:
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English
- Keywords:
- Pubs id:
-
1232938
- Local pid:
-
pubs:1232938
- Deposit date:
-
2022-01-18
Terms of use
- Copyright holder:
- Elsevier B.V.
- Copyright date:
- 2021
- Rights statement:
- © 2021 Elsevier B.V. All rights reserved.
- Notes:
-
This is the accepted manuscript version of the article. The final version is available from Elsevier at https://doi.org/10.1016/j.jmateco.2021.102621
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