License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.7.6.68
URN: urn:nbn:de:0030-drops-82876
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2017/8287/
Go back to Dagstuhl Reports

Goldberg, Paul W. ; Mansour, Yishay ; Dütting, Paul
Weitere Beteiligte (Hrsg. etc.): Paul W. Goldberg and Yishay Mansour and Paul Dütting

Game Theory Meets Computational Learning Theory (Dagstuhl Seminar 17251)

pdf-format:
dagrep_v007_i006_p068_17251.pdf (2 MB)

Abstract

his report documents the program and the outcomes of Dagstuhl Seminar 17251
"Game Theory Meets Computational Learning Theory".
While there have been many Dagstuhl seminars on various aspects of Algorithmic
Game Theory, this was the first one to focus on the emerging field of
its intersection with computational learning theory.

BibTeX - Entry

@Article{goldberg_et_al:DR:2017:8287,
  author =	{Paul W. Goldberg and Yishay Mansour and Paul D{\"u}tting},
  title =	{{Game Theory Meets Computational Learning Theory (Dagstuhl Seminar 17251)}},
  pages =	{68--85},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2017},
  volume =	{7},
  number =	{6},
  editor =	{Paul W. Goldberg and Yishay Mansour and Paul D{\"u}tting},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/8287},
  URN =		{urn:nbn:de:0030-drops-82876},
  doi =		{10.4230/DagRep.7.6.68},
  annote =	{Keywords: Algorithmic Game Theory, Computational Learning Theory, Economics}
}

Keywords: Algorithmic Game Theory, Computational Learning Theory, Economics
Collection: Dagstuhl Reports, Volume 7, Issue 6
Issue Date: 2017
Date of publication: 21.12.2017

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI