"A Bayesian Approach for Learning and Tracking Switching, Non-Stationary ..."

Pablo Hernandez-Leal et al. (2016)

> Home

Details and statistics

DOI: —

access: closed

type: Conference or Workshop Paper

metadata version: 2016-05-20

- view
  - electronic edition @ acm.org
- export record
  dblp key:
  - conf/atal/Hernandez-LealR16
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/atal/Hernandez-LealR16
Pablo Hernandez-Leal, Benjamin Rosman, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote:
A Bayesian Approach for Learning and Tracking Switching, Non-Stationary Opponents: (Extended Abstract). AAMAS 2016: 1315-1316

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.