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", }