Maximin action identification: a new bandit framework for games

2016-06-23

Presented at the Conference on Learning Theory (June 2016), New York, NY, USA

Additional Metadata
Editor	V. Feldman , A. Rakhlin (Alexander)
Project	Machine Learning at the Intrinsic Task Pace
Conference	Conference on Learning Theory
Grant	This work was funded by the The Netherlands Organisation for Scientific Research (NWO); grant id nwo/639.021.439 - Machine Learning at the Intrinsic Task Pace
Organisation	Algorithms and Complexity
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Garivier, A., Kaufmann, E., & Koolen-Wijkstra, W. (2016). Maximin action identification: a new bandit framework for games. In V. Feldman & A. Rakhlin (Eds.), JMLR: Workshop and Conference Proceedings (pp. 1028–1050).

Publication