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Conference Papers Year : 2015

Improved Iterative Methods for Verifying Markov Decision Processes

Jaber Karimpour
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  • PersonId : 986123
Ayaz Isazadeh
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  • PersonId : 986124
Mohammadsadegh Mohagheghi
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  • PersonId : 999416
Khayyam Salehi
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  • PersonId : 999417


Value and policy iteration are powerful methods for verifying quantitative properties of Markov Decision Processes (MDPs). In order to accelerate these methods many approaches have been proposed. The performance of these methods depends on the graphical structure of MDPs. Experimental results show that they don’t work much better than normal value/policy iteration when the graph of the MDP is dense. In this paper we present an algorithm which tries to reduce the number of updates in dense MDPs. In this algorithm, instead of saving unnecessary updates we use graph partitioning method to have more important updates.
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Dates and versions

hal-01446601 , version 1 (26-01-2017)





Jaber Karimpour, Ayaz Isazadeh, Mohammadsadegh Mohagheghi, Khayyam Salehi. Improved Iterative Methods for Verifying Markov Decision Processes. 6th Fundamentals of Software Engineering (FSEN), Apr 2015, Tehran, Iran. pp.207-214, ⟨10.1007/978-3-319-24644-4_14⟩. ⟨hal-01446601⟩
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