Using relative novelty to identify useful temporal abstractions in reinforcement learning
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Özgür Simsek, Andrew G. Barto
Using relative novelty to identify useful temporal abstractions in reinforcement learning
ICML, 2004.

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@inproceedings{ICML-2004-SimsekB,
	author        = "Özgür Simsek and Andrew G. Barto",
	booktitle     = "{Proceedings of the 21st International Conference on Machine Learning}",
	doi           = "10.1145/1015330.1015353",
	publisher     = "{ACM}",
	series        = "{ACM International Conference Proceeding Series}",
	title         = "{Using relative novelty to identify useful temporal abstractions in reinforcement learning}",
	volume        = 69,
	year          = 2004,
}

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