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Computer Science > Logic in Computer Science

arXiv:1707.04122v1 (cs)
[Submitted on 13 Jul 2017]

Title:SEA-PARAM: Exploring Schedulers in Parametric MDPs

Authors:Sebastian Arming (University of Salzburg), Ezio Bartocci (TU Wien), Ana Sokolova (Uni)
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Abstract:We study parametric Markov decision processes (PMDPs) and their reachability probabilities "independent" of the parameters. Different to existing work on parameter synthesis (implemented in the tools PARAM and PRISM), our main focus is on describing different types of optimal deterministic memoryless schedulers for the whole parameter range. We implement a simple prototype tool SEA-PARAM that computes these optimal schedulers and show experimental results.
Comments: In Proceedings QAPL 2017, arXiv:1707.03668
Subjects: Logic in Computer Science (cs.LO)
Cite as: arXiv:1707.04122 [cs.LO]
  (or arXiv:1707.04122v1 [cs.LO] for this version)
  https://doi.org/10.48550/arXiv.1707.04122
Journal reference: EPTCS 250, 2017, pp. 25-38
Related DOI: https://doi.org/10.4204/EPTCS.250.3

Submission history

From: EPTCS [view email] [via EPTCS proxy]
[v1] Thu, 13 Jul 2017 13:51:45 UTC (823 KB)
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