Tsallis-INF: An optimal algorithm for stochastic and adversarial bandits

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Tsallis-INF: An optimal algorithm for stochastic and adversarial bandits. / Zimmert, Julian Ulf; Seldin, Yevgeny.

In: Journal of Machine Learning Research, Vol. 22, 28, 2021.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Zimmert, JU & Seldin, Y 2021, 'Tsallis-INF: An optimal algorithm for stochastic and adversarial bandits', Journal of Machine Learning Research, vol. 22, 28.

APA

Zimmert, J. U., & Seldin, Y. (2021). Tsallis-INF: An optimal algorithm for stochastic and adversarial bandits. Journal of Machine Learning Research, 22, [28].

Vancouver

Zimmert JU, Seldin Y. Tsallis-INF: An optimal algorithm for stochastic and adversarial bandits. Journal of Machine Learning Research. 2021;22. 28.

Author

Zimmert, Julian Ulf ; Seldin, Yevgeny. / Tsallis-INF: An optimal algorithm for stochastic and adversarial bandits. In: Journal of Machine Learning Research. 2021 ; Vol. 22.

Bibtex

@article{bf6e483dcbce45709782230db99ed479,
title = "Tsallis-INF: An optimal algorithm for stochastic and adversarial bandits",
author = "Zimmert, {Julian Ulf} and Yevgeny Seldin",
year = "2021",
language = "English",
volume = "22",
journal = "Journal of Machine Learning Research",
issn = "1533-7928",
publisher = "MIT Press",

}

RIS

TY - JOUR

T1 - Tsallis-INF: An optimal algorithm for stochastic and adversarial bandits

AU - Zimmert, Julian Ulf

AU - Seldin, Yevgeny

PY - 2021

Y1 - 2021

M3 - Journal article

VL - 22

JO - Journal of Machine Learning Research

JF - Journal of Machine Learning Research

SN - 1533-7928

M1 - 28

ER -

ID: 234146163