English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Coordinating users of shared facilities via data-driven predictive assistants and game theory

Geiger, P., Besserve, M., Winkelmann, J., Proissl, C., & Schölkopf, B. (2019). Coordinating users of shared facilities via data-driven predictive assistants and game theory. In 35th Conference on Uncertainty in Artificial Intelligence (UAI 2019) (pp. 286-295). Red Hook, NY: Curran Associates, Inc. Retrieved from http://auai.org/uai2019/accepted.php.

Item is

Basic

show hide
Genre: Conference Paper

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Geiger, P.1, Author           
Besserve, M1, Author           
Winkelmann, J.2, Author
Proissl, C.1, Author           
Schölkopf, B1, Author           
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              
2External Organizations, ou_persistent22              

Content

show
hide
Free keywords: Abt. Schölkopf
 Abstract: -

Details

show
hide
Language(s): eng - English
 Dates: 20192019-10
 Publication Status: Issued
 Pages: 10
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

Event

show
hide
Title: 35th Conference on Uncertainty in Artificial Intelligence (UAI 2019)
Place of Event: Tel Aviv
Start-/End Date: 2019-07-22 - 2019-07-25

Legal Case

show

Project information

show

Source 1

show
hide
Title: 35th Conference on Uncertainty in Artificial Intelligence (UAI 2019)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Red Hook, NY : Curran Associates, Inc.
Pages: - Volume / Issue: 1 Sequence Number: 49 Start / End Page: 286 - 295 Identifier: URI: http://auai.org/uai2019/accepted.php
ISBN: 978-1-5108-9156-2

Source 2

show
hide
Title: Proceedings of the 35th Uncertainty in Artificial Intelligence Conference
Source Genre: Proceedings
 Creator(s):
Adams, Ryan P.1, Editor
Gogate, Vibhav1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: PMLR
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 207 - 216 Identifier: URI: https://proceedings.mlr.press/v115/

Source 3

show
hide
Title: Proceedings of Machine Learning Research (PMLR)
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: PMLR
Pages: - Volume / Issue: 115 Sequence Number: - Start / End Page: - Identifier: ISSN: 2640-3498