Near-optimal Regret Bounds for Reinforcement Learning
Publikationen: Konferenzbeitrag › Poster › Forschung › (peer-reviewed)
Standard
Near-optimal Regret Bounds for Reinforcement Learning. / Auer, Peter; Jaksch, Thomas; Ortner, Ronald.
2008. Postersitzung präsentiert bei Advances in neural information processing systems, Vancouver, Kanada.
2008. Postersitzung präsentiert bei Advances in neural information processing systems, Vancouver, Kanada.
Publikationen: Konferenzbeitrag › Poster › Forschung › (peer-reviewed)
Harvard
Auer, P, Jaksch, T & Ortner, R 2008, 'Near-optimal Regret Bounds for Reinforcement Learning', Advances in neural information processing systems, Vancouver, Kanada, 7/12/08 - 10/12/08.
APA
Auer, P., Jaksch, T., & Ortner, R. (2008). Near-optimal Regret Bounds for Reinforcement Learning. Postersitzung präsentiert bei Advances in neural information processing systems, Vancouver, Kanada.
Vancouver
Auer P, Jaksch T, Ortner R. Near-optimal Regret Bounds for Reinforcement Learning. 2008. Postersitzung präsentiert bei Advances in neural information processing systems, Vancouver, Kanada.
Author
Bibtex - Download
@conference{0833e6405256402194204cfd5bc22efb,
title = "Near-optimal Regret Bounds for Reinforcement Learning",
author = "Peter Auer and Thomas Jaksch and Ronald Ortner",
year = "2008",
language = "English",
note = "Advances in neural information processing systems ; Conference date: 07-12-2008 Through 10-12-2008",
}
RIS (suitable for import to EndNote) - Download
TY - CONF
T1 - Near-optimal Regret Bounds for Reinforcement Learning
AU - Auer, Peter
AU - Jaksch, Thomas
AU - Ortner, Ronald
PY - 2008
Y1 - 2008
M3 - Poster
T2 - Advances in neural information processing systems
Y2 - 7 December 2008 through 10 December 2008
ER -
