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Trace refinement in labelled Markov decision processes

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 has been open since 2008. We further study the decidability and complexity of the trace-refinement problem provided that the strategies are restricted to be memoryless.
Publication status:
Accepted
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author


Keywords:
Pubs id:
pubs:572474
UUID:
uuid:7de2f830-1e3b-45e6-a5bc-a4c3f8353a27
Local pid:
pubs:572474
Source identifiers:
572474
Deposit date:
2015-12-10

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