Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning
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Odalric-Ambrym Maillard, Phuong Nguyen, Ronald Ortner, Daniil Ryabko
Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning
ICML, 2013.

ICML c1 2013
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@inproceedings{ICML-c1-2013-MaillardNOR,
	author        = "Odalric-Ambrym Maillard and Phuong Nguyen and Ronald Ortner and Daniil Ryabko",
	booktitle     = "{Proceedings of the 30th International Conference on Machine Learning, Cycle 1}",
	ee            = "http://jmlr.org/proceedings/papers/v28/maillard13.html",
	pages         = "543--551",
	publisher     = "{JMLR.org}",
	series        = "{JMLR Proceedings}",
	title         = "{Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning}",
	volume        = 28,
	year          = 2013,
}

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