The adaptive $k$-meteorologists problem and its application to structure learning and feature selection in reinforcement learning

The adaptive $k$-meteorologists problem and its application to structure learning and feature selection in reinforcement learning
Carlos Diuk, Lihong Li, and Bethany R. Leffler, 2009

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Abstract

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BibTeX Entry

@InProceedings{Diuk+LL:2009,
  author =       "Diuk, Carlos and Li, Lihong and Leffler, Bethany R.",
  title =        "The adaptive $k$-meteorologists problem and its application to structure learning and feature selection in reinforcement learning",
  booktitle =    "Proceedings of the 26th Annual International Conference on Machine Learning (ICML 2009)",
  year =         "2009",
  ISBN =         "978-1-60558-516-1",
  editor =    "Danyluk, Andrea Pohoreckyj and Bottou, L{\'e}on and Littman, Michael L.",
  publisher = "ACM",
  pages =     "249--256",
  url = "http://www.princeton.edu/~cdiuk/papers/meteorologist.pdf",
  bib2html_rescat = "Function Appraoximation, Parameter",
}

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