Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes

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Originalsprache	Englisch
Titel	Proceedings of the 32nd Conference on Learning Theory, COLT 2019
Seiten	138-158
Publikationsstatus	Veröffentlicht - 2019
Veranstaltung	32nd Conference on Learning Theory - Phoenix, AZ, USA / Vereinigte Staaten Dauer: 25 Juni 2019 → 28 Juni 2019

Konferenz	32nd Conference on Learning Theory
Kurztitel	COLT 2019
Land/Gebiet	USA / Vereinigte Staaten
Ort	Phoenix, AZ
Zeitraum	25/06/19 → 28/06/19

Zugriff auf Dokument

@inproceedings{85bb27b4a9ab44729e74108a66755bf7,

title = "Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes",

author = "Peter Auer and Pratik Gajane and Ronald Ortner",

year = "2019",

language = "English",

pages = "138--158",

booktitle = "Proceedings of the 32nd Conference on Learning Theory, COLT 2019",

note = "32nd Conference on Learning Theory ; Conference date: 25-06-2019 Through 28-06-2019",

}

TY - GEN

T1 - Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes

AU - Auer, Peter

AU - Gajane, Pratik

AU - Ortner, Ronald

PY - 2019

Y1 - 2019

M3 - Conference contribution

SP - 138

EP - 158

BT - Proceedings of the 32nd Conference on Learning Theory, COLT 2019

T2 - 32nd Conference on Learning Theory

Y2 - 25 June 2019 through 28 June 2019

ER -