Adaptive bandits: Towards the best history-dependent strategy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Adaptive bandits: Towards the best history-dependent strategy. / Maillard, Odalric-Ambrym.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics. 2011. p. 570-578.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Maillard, O-A 2011, Adaptive bandits: Towards the best history-dependent strategy. in Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics. pp. 570-578. <http://jmlr.csail.mit.edu/proceedings/papers/v15/>

APA

Maillard, O.-A. (2011). Adaptive bandits: Towards the best history-dependent strategy. In Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (pp. 570-578) http://jmlr.csail.mit.edu/proceedings/papers/v15/

Vancouver

Maillard OA. Adaptive bandits: Towards the best history-dependent strategy. In Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics. 2011. p. 570-578

Author

Maillard, Odalric-Ambrym. / Adaptive bandits: Towards the best history-dependent strategy. Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics. 2011. pp. 570-578

Bibtex - Download

@inproceedings{46cf00f8e40b4ecfb7846bb11947fe65,
title = "Adaptive bandits: Towards the best history-dependent strategy",
author = "Odalric-Ambrym Maillard",
year = "2011",
language = "English",
pages = "570--578",
booktitle = "Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Adaptive bandits: Towards the best history-dependent strategy

AU - Maillard, Odalric-Ambrym

PY - 2011

Y1 - 2011

M3 - Conference contribution

SP - 570

EP - 578

BT - Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics

ER -