Reference points and learning
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.
| Main Author: | |
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| Format: | Working paper |
| Published: |
University of Oxford
2015
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| _version_ | 1826270617113985024 |
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| author | Beggs, A |
| author_facet | Beggs, A |
| author_sort | Beggs, A |
| collection | OXFORD |
| description | 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. |
| first_indexed | 2024-03-06T21:43:39Z |
| format | Working paper |
| id | oxford-uuid:48cd5b18-37d1-4108-9ba7-959c31e36de4 |
| institution | University of Oxford |
| last_indexed | 2024-03-06T21:43:39Z |
| publishDate | 2015 |
| publisher | University of Oxford |
| record_format | dspace |
| spelling | oxford-uuid:48cd5b18-37d1-4108-9ba7-959c31e36de42022-03-26T15:27:51ZReference points and learningWorking paperhttp://purl.org/coar/resource_type/c_8042uuid:48cd5b18-37d1-4108-9ba7-959c31e36de4Bulk import via SwordSymplectic ElementsUniversity of Oxford2015Beggs, AThis 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. |
| spellingShingle | Beggs, A Reference points and learning |
| title | Reference points and learning |
| title_full | Reference points and learning |
| title_fullStr | Reference points and learning |
| title_full_unstemmed | Reference points and learning |
| title_short | Reference points and learning |
| title_sort | reference points and learning |
| work_keys_str_mv | AT beggsa referencepointsandlearning |