Instance-Based Utile Distinctions for Reinforcement Learning with Hidden State

Instance-Based Utile Distinctions for Reinforcement Learning with Hidden State
R. Andrew McCallum, 1995

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BibTeX Entry

@InProceedings{McCallum:1995,
  author =       "McCallum, R. Andrew",
  title =        "Instance-Based Utile Distinctions for Reinforcement Learning with Hidden State",
  booktitle =    "Proceedings of the Twelfth International Conference on Machine Learning (ICML 1995)",
  year =         "1995",
  ISBN =         "1-55860-377-8",
  editor =    "Prieditis, Armand and Russell, Stuart J.",
  publisher = "Morgan Kauffman",
  address =   "San Francisco, CA, USA",
  pages =     "387--395",
  url = "http://reference.kfupm.edu.sa/content/i/n/instance_based_utile_distinctions_for_re_1525.pdf",
  bib2html_rescat = "Partial Observability",
}

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