Skip navigation
Skip navigation

Consistency of Feature Markov Processes

Sunehag, Peter; Hutter, Marcus


We are studying long term sequence prediction (forecasting). We approach this by investigating criteria for choosing a compact useful state representation. The state is supposed to summarize useful information from the history. We want a method that is asymptotically consistent in the sense it will provably eventually only choose between alternatives that satisfy an optimality property related to the used criterion. We extend our work to the case where there is side information that one can...[Show more]

CollectionsANU Research Publications
Date published: 2010
Type: Conference paper
Source: Proceedings of International Conference on Algorithmic Learning Theory (ALT 2010)
DOI: 10.1007/978-3-642-16108-7_29


File Description SizeFormat Image
01_Sunehag_Consistency_of_Feature_Markov_2010.pdf224.04 kBAdobe PDFThumbnail

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  17 November 2022/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator