Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"Concave Utility Reinforcement Learning: The Mean-field Game Viewpoint."

Matthieu Geist et al. (2022)

> Home

Details and statistics

DOI: 10.5555/3535850.3535906

access: open

type: Conference or Workshop Paper

metadata version: 2022-07-18

- view
  - electronic edition @ ifaamas.org (open access)
  - electronic edition @ acm.org
  authority control:
- export record
  dblp key:
  - conf/atal/GeistPLEPBMP22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/atal/GeistPLEPBMP22
Matthieu Geist, Julien Pérolat, Mathieu Laurière, Romuald Elie, Sarah Perrin, Olivier Bachem, Rémi Munos, Olivier Pietquin:
Concave Utility Reinforcement Learning: The Mean-field Game Viewpoint. AAMAS 2022: 489-497

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.