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Dynamically Constructed (PO)MDPs for Adaptive Robot Planning
Author(s) -
Shiqi Zhang,
Piyush Khandelwal,
Peter Stone
Publication year - 2017
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.v31i1.11042
Subject(s) - computer science , markov decision process , partially observable markov decision process , set (abstract data type) , semantics (computer science) , robot , domain (mathematical analysis) , observable , dynamic programming , plan (archaeology) , artificial intelligence , answer set programming , mathematical optimization , markov chain , markov process , machine learning , programming language , markov model , algorithm , mathematics , mathematical analysis , statistics , physics , archaeology , quantum mechanics , history

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