Adaptively Tracking the Best Arm with an Unknown Number of Distribution Changes
Publikationen: Konferenzbeitrag › Paper › (peer-reviewed)
Standard
Adaptively Tracking the Best Arm with an Unknown Number of Distribution Changes. / Auer, Peter; Gajane, Pratik; Ortner, Ronald.
2018. Beitrag in European Workshop on Reinforcement Learning 2018, Lille, Frankreich.
2018. Beitrag in European Workshop on Reinforcement Learning 2018, Lille, Frankreich.
Publikationen: Konferenzbeitrag › Paper › (peer-reviewed)
Harvard
Auer, P, Gajane, P & Ortner, R 2018, 'Adaptively Tracking the Best Arm with an Unknown Number of Distribution Changes', Beitrag in European Workshop on Reinforcement Learning 2018, Lille, Frankreich, 1/10/18 - 3/10/18. <https://ewrl.files.wordpress.com/2018/09/ewrl_14_2018_paper_28.pdf>
APA
Auer, P., Gajane, P., & Ortner, R. (2018). Adaptively Tracking the Best Arm with an Unknown Number of Distribution Changes. Beitrag in European Workshop on Reinforcement Learning 2018, Lille, Frankreich. https://ewrl.files.wordpress.com/2018/09/ewrl_14_2018_paper_28.pdf
Vancouver
Auer P, Gajane P, Ortner R. Adaptively Tracking the Best Arm with an Unknown Number of Distribution Changes. 2018. Beitrag in European Workshop on Reinforcement Learning 2018, Lille, Frankreich.
Author
Bibtex - Download
@conference{bf51ad3d1d59491db92157aa0d768dfa,
title = "Adaptively Tracking the Best Arm with an Unknown Number of Distribution Changes",
author = "Peter Auer and Pratik Gajane and Ronald Ortner",
year = "2018",
language = "English",
note = "European Workshop on Reinforcement Learning 2018 ; Conference date: 01-10-2018 Through 03-10-2018",
url = "https://ewrl.wordpress.com/ewrl13-2016/, https://ewrl.wordpress.com/ewrl14-2018/",
}
RIS (suitable for import to EndNote) - Download
TY - CONF
T1 - Adaptively Tracking the Best Arm with an Unknown Number of Distribution Changes
AU - Auer, Peter
AU - Gajane, Pratik
AU - Ortner, Ronald
N1 - Conference code: 13
PY - 2018
Y1 - 2018
M3 - Paper
T2 - European Workshop on Reinforcement Learning 2018
Y2 - 1 October 2018 through 3 October 2018
ER -
