Open AccessApproximate Linear Programming for Constrained Partially Observable Markov Decision Processes
Author(s) -
Pascal Poupart,
Aarti Malhotra,
Pei Pei,
Kee-Eung Kim,
Bongseok Goh,
Michael Bowling
Publication year - 2015
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.v29i1.9655
Subject(s) - observable , partially observable markov decision process , markov decision process , mathematical optimization , benchmark (surveying) , computer science , linear programming , suite , sequence (biology) , dynamic programming , controller (irrigation) , state (computer science) , markov process , mathematics , algorithm , statistics , physics , genetics , geodesy , archaeology , quantum mechanics , biology , agronomy , history , geography
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