## Approximately Optimal Approximate Reinforcement Learning

Approximately Optimal Approximate Reinforcement Learning

Sham Kakade and John Langford, 2002

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### Abstract

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### BibTeX Entry

@InProceedings{Kakade+Langford:2002, author = "Kakade, Sham and Langford, John", title = "Approximately Optimal Approximate Reinforcement Learning", booktitle = "Proceedings of the Nineteenth International Conference on Machine Learning (ICML 2002)", editor = "Sammut, Claude and Hoffman, Achim", year = "2002", ISBN = "1-55860-873-7", publisher = "Morgan Kauffman", address = "San Francisco, CA, USA", pages = "267--274", url = "http://ttic.uchicago.edu/~sham/papers/rl/aoarl.pdf", bib2html_rescat = "Learning Methods", }