Open AccessImproving Predictive State Representations via Gradient Descent
Author(s) -
Nan Jiang,
Alex Kulesza,
Satinder Singh
Publication year - 2016
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v30i1.10270
Subject(s) - initialization , gradient descent , computer science , representation (politics) , contrast (vision) , matching (statistics) , observable , simple (philosophy) , artificial intelligence , moment (physics) , algorithm , state (computer science) , pattern recognition (psychology) , machine learning , mathematics , artificial neural network , statistics , physics , philosophy , epistemology , classical mechanics , quantum mechanics , politics , political science , law , programming language
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