For the current REF see the REF 2021 website REF 2021 logo

Output details

11 - Computer Science and Informatics

University of Liverpool

Return to search Previous output Next output
Output 44 of 94 in the submission
Output title

Learning equilibria of games via payoff queries

Type
E - Conference contribution
Name of conference/published proceedings
Proceedings of the 14th ACM conference on Electronic Commerce
Volume number
-
Issue number
-
First page of article
397
ISSN of proceedings
-
Year of publication
2013
URL
-
Number of additional authors
3
Additional information

<12>This paper addresses the query complexity of computing equilibria. It gives upper and lower bounds on the payoff query complexity in fundamental game models.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-