Near-optimal Regret Bounds for Reinforcement Learning
Research output: Contribution to journal › Article › Research › peer-review
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Near-optimal Regret Bounds for Reinforcement Learning. / Jaksch, Thomas; Ortner, Ronald; Auer, Peter.
In: Journal of machine learning research (JMLR), Vol. 11, 2010, p. 1563-1600.
In: Journal of machine learning research (JMLR), Vol. 11, 2010, p. 1563-1600.
Research output: Contribution to journal › Article › Research › peer-review
Harvard
Jaksch, T, Ortner, R & Auer, P 2010, 'Near-optimal Regret Bounds for Reinforcement Learning', Journal of machine learning research (JMLR), vol. 11, pp. 1563-1600. <http://www.jmlr.org/>
APA
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Bibtex - Download
@article{b64cca8cf80241c4a78dac3c604be7e8,
title = "Near-optimal Regret Bounds for Reinforcement Learning",
author = "Thomas Jaksch and Ronald Ortner and Peter Auer",
year = "2010",
language = "Deutsch",
volume = "11",
pages = "1563--1600",
journal = "Journal of machine learning research (JMLR)",
issn = "1532-4435",
publisher = "Microtome Publishing",
}
RIS (suitable for import to EndNote) - Download
TY - JOUR
T1 - Near-optimal Regret Bounds for Reinforcement Learning
AU - Jaksch, Thomas
AU - Ortner, Ronald
AU - Auer, Peter
PY - 2010
Y1 - 2010
M3 - Artikel
VL - 11
SP - 1563
EP - 1600
JO - Journal of machine learning research (JMLR)
JF - Journal of machine learning research (JMLR)
SN - 1532-4435
ER -
