Learning in monotone Bayesian games
This paper studies learning in monotone Bayesian games with one-dimensional types and finitely many actions. Players switch between actions at a set of thresholds. A learning algorithm under which players adjust their strategies in the direction of better ones using payoffs received at similar sign...
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| Format: | Working paper |
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University of Oxford
2015
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| _version_ | 1826269576357216256 |
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| author | Beggs, A |
| author_facet | Beggs, A |
| author_sort | Beggs, A |
| collection | OXFORD |
| description | This paper studies learning in monotone Bayesian games with one-dimensional types and finitely many actions. Players switch between actions at a set of thresholds. A learning algorithm under which players adjust their strategies in the direction of better ones using payoffs received at similar signals to their current thresholds is examined. Convergence to equilibrium is shown in the case of supermodular games and potential games. |
| first_indexed | 2024-03-06T21:27:13Z |
| format | Working paper |
| id | oxford-uuid:4381ba0b-667a-446d-9b35-ed7698995a70 |
| institution | University of Oxford |
| last_indexed | 2024-03-06T21:27:13Z |
| publishDate | 2015 |
| publisher | University of Oxford |
| record_format | dspace |
| spelling | oxford-uuid:4381ba0b-667a-446d-9b35-ed7698995a702022-03-26T14:55:49ZLearning in monotone Bayesian gamesWorking paperhttp://purl.org/coar/resource_type/c_8042uuid:4381ba0b-667a-446d-9b35-ed7698995a70Symplectic ElementsBulk import via SwordUniversity of Oxford2015Beggs, AThis paper studies learning in monotone Bayesian games with one-dimensional types and finitely many actions. Players switch between actions at a set of thresholds. A learning algorithm under which players adjust their strategies in the direction of better ones using payoffs received at similar signals to their current thresholds is examined. Convergence to equilibrium is shown in the case of supermodular games and potential games. |
| spellingShingle | Beggs, A Learning in monotone Bayesian games |
| title | Learning in monotone Bayesian games |
| title_full | Learning in monotone Bayesian games |
| title_fullStr | Learning in monotone Bayesian games |
| title_full_unstemmed | Learning in monotone Bayesian games |
| title_short | Learning in monotone Bayesian games |
| title_sort | learning in monotone bayesian games |
| work_keys_str_mv | AT beggsa learninginmonotonebayesiangames |