The possible and the impossible in multi-agent learning
The paper surveys recent work on learning in games and delineates the boundary between forms of learning that lead to Nash equilibrium and forms that lead to weaker notions of equilibrium (or none at all).
| Main Author: | |
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| Format: | Working paper |
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University of Oxford
2007
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| _version_ | 1797052396672647168 |
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| author | Young, H |
| author_facet | Young, H |
| author_sort | Young, H |
| collection | OXFORD |
| description | The paper surveys recent work on learning in games and delineates the boundary between forms of learning that lead to Nash equilibrium and forms that lead to weaker notions of equilibrium (or none at all). |
| first_indexed | 2024-03-06T18:31:02Z |
| format | Working paper |
| id | oxford-uuid:09a99735-db83-4521-8b70-902c5a30ac31 |
| institution | University of Oxford |
| last_indexed | 2024-03-06T18:31:02Z |
| publishDate | 2007 |
| publisher | University of Oxford |
| record_format | dspace |
| spelling | oxford-uuid:09a99735-db83-4521-8b70-902c5a30ac312022-03-26T09:19:31ZThe possible and the impossible in multi-agent learningWorking paperhttp://purl.org/coar/resource_type/c_8042uuid:09a99735-db83-4521-8b70-902c5a30ac31Bulk import via SwordSymplectic ElementsUniversity of Oxford2007Young, HThe paper surveys recent work on learning in games and delineates the boundary between forms of learning that lead to Nash equilibrium and forms that lead to weaker notions of equilibrium (or none at all). |
| spellingShingle | Young, H The possible and the impossible in multi-agent learning |
| title | The possible and the impossible in multi-agent learning |
| title_full | The possible and the impossible in multi-agent learning |
| title_fullStr | The possible and the impossible in multi-agent learning |
| title_full_unstemmed | The possible and the impossible in multi-agent learning |
| title_short | The possible and the impossible in multi-agent learning |
| title_sort | possible and the impossible in multi agent learning |
| work_keys_str_mv | AT youngh thepossibleandtheimpossibleinmultiagentlearning AT youngh possibleandtheimpossibleinmultiagentlearning |