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 APA Style APA-ALL Style AAA 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).

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