Fijalkow, Nathanaël and Kiefer, Stefan and Shirmohammadi, Mahsa - Trace Refinement in Labelled Markov Decision Processes

lmcs:5002 - Logical Methods in Computer Science, June 3, 2020, Volume 16, Issue 2 - https://doi.org/10.23638/LMCS-16(2:10)2020
Trace Refinement in Labelled Markov Decision Processes

Authors: Fijalkow, Nathanaël and Kiefer, Stefan and Shirmohammadi, Mahsa

Given two labelled Markov decision processes (MDPs), the trace-refinement problem asks whether for all strategies of the first MDP there exists a strategy of the second MDP such that the induced labelled Markov chains are trace-equivalent. We show that this problem is decidable in polynomial time if the second MDP is a Markov chain. The algorithm is based on new results on a particular notion of bisimulation between distributions over the states. However, we show that the general trace-refinement problem is undecidable, even if the first MDP is a Markov chain. Decidability of those problems was stated as open in 2008. We further study the decidability and complexity of the trace-refinement problem provided that the strategies are restricted to be memoryless.


Volume: Volume 16, Issue 2
Published on: June 3, 2020
Submitted on: November 30, 2018
Keywords: Computer Science - Logic in Computer Science


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