Selecting Near-Optimal Approximate State Representations in Reinforcement Learning
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Selecting Near-Optimal Approximate State Representations in Reinforcement Learning. / Ortner, Ronald; Maillard, Odalric-Ambrym; Ryabko, Daniil.
Algorithmic Learning Theory - 25th International Conference, ALT 2014, Bled, October 8-10, 2014. 2014. S. 140-154.
Algorithmic Learning Theory - 25th International Conference, ALT 2014, Bled, October 8-10, 2014. 2014. S. 140-154.
Publikationen: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Konferenzband
Harvard
Ortner, R, Maillard, O-A & Ryabko, D 2014, Selecting Near-Optimal Approximate State Representations in Reinforcement Learning. in Algorithmic Learning Theory - 25th International Conference, ALT 2014, Bled, October 8-10, 2014. S. 140-154, 25th International Conference on Algorithmic Learning Theory, Bled, Slowenien, 8/10/14. https://doi.org/10.1007/978-3-319-11662-4_11
APA
Ortner, R., Maillard, O.-A., & Ryabko, D. (2014). Selecting Near-Optimal Approximate State Representations in Reinforcement Learning. In Algorithmic Learning Theory - 25th International Conference, ALT 2014, Bled, October 8-10, 2014 (S. 140-154) https://doi.org/10.1007/978-3-319-11662-4_11
Vancouver
Ortner R, Maillard OA, Ryabko D. Selecting Near-Optimal Approximate State Representations in Reinforcement Learning. in Algorithmic Learning Theory - 25th International Conference, ALT 2014, Bled, October 8-10, 2014. 2014. S. 140-154 doi: 10.1007/978-3-319-11662-4_11
Author
Bibtex - Download
@inproceedings{34e8fddd745940d1b3ca48a1dd1944a8,
title = "Selecting Near-Optimal Approximate State Representations in Reinforcement Learning",
author = "Ronald Ortner and Odalric-Ambrym Maillard and Daniil Ryabko",
year = "2014",
doi = "10.1007/978-3-319-11662-4_11",
language = "English",
isbn = "978-3-319-11661-7",
pages = "140--154",
booktitle = "Algorithmic Learning Theory - 25th International Conference, ALT 2014, Bled, October 8-10, 2014",
note = "25th International Conference on Algorithmic Learning Theory, ALT 2014 ; Conference date: 08-10-2014 Through 10-10-2014",
}
RIS (suitable for import to EndNote) - Download
TY - GEN
T1 - Selecting Near-Optimal Approximate State Representations in Reinforcement Learning
AU - Ortner, Ronald
AU - Maillard, Odalric-Ambrym
AU - Ryabko, Daniil
PY - 2014
Y1 - 2014
U2 - 10.1007/978-3-319-11662-4_11
DO - 10.1007/978-3-319-11662-4_11
M3 - Conference contribution
SN - 978-3-319-11661-7
SP - 140
EP - 154
BT - Algorithmic Learning Theory - 25th International Conference, ALT 2014, Bled, October 8-10, 2014
T2 - 25th International Conference on Algorithmic Learning Theory, ALT 2014
Y2 - 8 October 2014 through 10 October 2014
ER -
