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Publications - Trace Refinement in Labelled Markov Decision Processes

Reference:

Nathanaël Fijalkow, Stefan Kiefer, and Mahsa Shirmohammadi. Trace refinement in labelled Markov decision processes. Logical Methods in Computer Science, Volume 16, Issue 2, 2020.

Abstract:

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.

Suggested BibTeX entry:

@article{20FKS-LMCS,
    author = {Nathana{\"e}l Fijalkow and Stefan Kiefer and Mahsa Shirmohammadi},
    journal = {Logical Methods in Computer Science},
    title = {Trace Refinement in Labelled {M}arkov Decision Processes},
    volume = {{Volume 16, Issue 2}},
    year = {2020}
}

See lmcs.episciences.org ...
Conference version