Logarithmic online regret bounds for undiscounted reinforcement learning
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Standard
Logarithmic online regret bounds for undiscounted reinforcement learning. / Auer, Peter; Ortner, Ronald.
Advances in Neural Information Processing Systems 19. MIT Press, 2007. S. 49-56.
Advances in Neural Information Processing Systems 19. MIT Press, 2007. S. 49-56.
Publikationen: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Konferenzband
Harvard
Auer, P & Ortner, R 2007, Logarithmic online regret bounds for undiscounted reinforcement learning. in Advances in Neural Information Processing Systems 19. MIT Press, S. 49-56.
APA
Auer, P., & Ortner, R. (2007). Logarithmic online regret bounds for undiscounted reinforcement learning. In Advances in Neural Information Processing Systems 19 (S. 49-56). MIT Press.
Vancouver
Auer P, Ortner R. Logarithmic online regret bounds for undiscounted reinforcement learning. in Advances in Neural Information Processing Systems 19. MIT Press. 2007. S. 49-56
Author
Bibtex - Download
@inproceedings{acc00f2f7c974c1e85c794aa1af072b6,
title = "Logarithmic online regret bounds for undiscounted reinforcement learning",
author = "Peter Auer and Ronald Ortner",
year = "2007",
language = "English",
pages = "49--56",
booktitle = "Advances in Neural Information Processing Systems 19",
publisher = "MIT Press",
address = "United States",
}
RIS (suitable for import to EndNote) - Download
TY - GEN
T1 - Logarithmic online regret bounds for undiscounted reinforcement learning
AU - Auer, Peter
AU - Ortner, Ronald
PY - 2007
Y1 - 2007
M3 - Conference contribution
SP - 49
EP - 56
BT - Advances in Neural Information Processing Systems 19
PB - MIT Press
ER -