Regret Bounds for Learning State Representations in Reinforcement Learning
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Standard
Regret Bounds for Learning State Representations in Reinforcement Learning. / Ortner, Ronald; Pirotta, Matteo; Lazaric, Alessandro et al.
Advances in Neural Information Processing Systems. Band 32 2019. S. 12717.
Advances in Neural Information Processing Systems. Band 32 2019. S. 12717.
Publikationen: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Konferenzband
Harvard
Ortner, R, Pirotta, M, Lazaric, A, Fruit, R & Maillard, O-A 2019, Regret Bounds for Learning State Representations in Reinforcement Learning. in Advances in Neural Information Processing Systems. Bd. 32, S. 12717.
APA
Ortner, R., Pirotta, M., Lazaric, A., Fruit, R., & Maillard, O.-A. (2019). Regret Bounds for Learning State Representations in Reinforcement Learning. In Advances in Neural Information Processing Systems (Band 32, S. 12717) Vorzeitige Online-Publikation.
Vancouver
Ortner R, Pirotta M, Lazaric A, Fruit R, Maillard OA. Regret Bounds for Learning State Representations in Reinforcement Learning. in Advances in Neural Information Processing Systems. Band 32. 2019. S. 12717 Epub 2019.
Author
Bibtex - Download
@inproceedings{28fffaca58814489a9c256cf8d6e0448,
title = "Regret Bounds for Learning State Representations in Reinforcement Learning",
author = "Ronald Ortner and Matteo Pirotta and Alessandro Lazaric and Ronan Fruit and Odalric-Ambrym Maillard",
year = "2019",
language = "English",
volume = "32",
pages = "12717",
booktitle = "Advances in Neural Information Processing Systems",
}
RIS (suitable for import to EndNote) - Download
TY - GEN
T1 - Regret Bounds for Learning State Representations in Reinforcement Learning
AU - Ortner, Ronald
AU - Pirotta, Matteo
AU - Lazaric, Alessandro
AU - Fruit, Ronan
AU - Maillard, Odalric-Ambrym
PY - 2019
Y1 - 2019
M3 - Conference contribution
VL - 32
SP - 12717
BT - Advances in Neural Information Processing Systems
ER -
