<?xml version="1.0" encoding="UTF-8"?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
<ListRecords>
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/oai_dc/"
           xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"
           xmlns:dc="http://purl.org/dc/elements/1.1/"
           xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
           xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   	<dc:title>The revised practitioner’s guide to MDP model checking algorithms</dc:title>
   	<dc:creator>Hartmanns, Arnd</dc:creator>
   	<dc:creator>Junges, Sebastian</dc:creator>
   	<dc:creator>Quatmann, Tim</dc:creator>
   	<dc:creator>Weininger, Maximilian ; https://orcid.org/0000-0002-0163-2152</dc:creator>
   	<dc:subject>Quantitative model checking</dc:subject>
   	<dc:subject>Markov decision process</dc:subject>
   	<dc:subject>Linear programming</dc:subject>
   	<dc:subject>Value iteration</dc:subject>
   	<dc:subject>Policy iteration</dc:subject>
   	<dc:subject>ddc:000</dc:subject>
   	<dc:description>Model checking undiscounted reachability and expected-reward properties on Markov decision processes (MDPs) are key for the verification of systems that act under uncertainty. Popular algorithms are policy iteration and variants of value iteration; in tool competitions, most participants rely on the latter. These algorithms generally need worst-case exponential time. However, the problem can equally be formulated as a linear programme, solvable in polynomial time. In this paper, we give a detailed overview of today’s state-of-the-art algorithms for MDP model checking with a focus on performance and correctness. We highlight their fundamental differences, and describe various optimizations and implementation variants. We experimentally compare floating-point and exact-arithmetic implementations of all algorithms on three benchmark sets using two probabilistic model checkers. Our results show that (optimistic) value iteration is a sensible default, but other algorithms are preferable in specific settings. This paper thereby provides a guide for MDP verification practitioners—tool builders and users alike.</dc:description>
   	<dc:publisher>Springer Nature</dc:publisher>
   	<dc:date>2026</dc:date>
   	<dc:type>info:eu-repo/semantics/article</dc:type>
   	<dc:type>doc-type:article</dc:type>
   	<dc:type>text</dc:type>
   	<dc:type>http://purl.org/coar/resource_type/c_2df8fbb1</dc:type>
   	<dc:identifier>https://research-explorer.ista.ac.at/record/21661</dc:identifier>
   	<dc:source>Hartmanns A, Junges S, Quatmann T, Weininger M. The revised practitioner’s guide to MDP model checking algorithms. &lt;i&gt;International Journal on Software Tools for Technology Transfer&lt;/i&gt;. 2026. doi:&lt;a href=&quot;https://doi.org/10.1007/s10009-026-00848-y&quot;&gt;10.1007/s10009-026-00848-y&lt;/a&gt;</dc:source>
   	<dc:language>eng</dc:language>
   	<dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1007/s10009-026-00848-y</dc:relation>
   	<dc:relation>info:eu-repo/semantics/altIdentifier/issn/1433-2779</dc:relation>
   	<dc:relation>info:eu-repo/semantics/altIdentifier/e-issn/1433-2787</dc:relation>
   	<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
</oai_dc:dc>
</ListRecords>
</OAI-PMH>
