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",
}