What is decidable about partially observable Markov decision processes with \(\omega\)-regular objectives
DOI10.1016/j.jcss.2016.02.009zbMath1338.68166arXiv1309.2802OpenAlexW1522308973MaRDI QIDQ269509
Mathieu Tracol, Martin Chmelík, Krishnendu Chatterjee
Publication date: 18 April 2016
Published in: Journal of Computer and System Sciences (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1309.2802
Markov decision processes\(\omega\)-regular conditionsfinite-memory strategiesparity objectivespartially observable Markov decision processes (POMDPs)
Analysis of algorithms and problem complexity (68Q25) Formal languages and automata (68Q45) Markov and semi-Markov decision processes (90C40) Specification and verification (program logics, model checking, etc.) (68Q60) Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.) (68Q17) Probability in computer science (algorithm analysis, random structures, phase transitions, etc.) (68Q87)
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