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.

Publikationen: Beitrag in Buch/Bericht/KonferenzbandBeitrag 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 O-A, 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 https://doi.org/10.1007/978-3-319-11662-4_11

Author

Ortner, Ronald ; Maillard, Odalric-Ambrym ; Ryabko, Daniil. / Selecting Near-Optimal Approximate State Representations in Reinforcement Learning. Algorithmic Learning Theory - 25th International Conference, ALT 2014, Bled, October 8-10, 2014. 2014. S. 140-154

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 -