Abstract
Assume we have a network of discrete-time Markov decision processes (MDPs) which synchronize via common actions. We investigate how to compute probability measures in case the structure of some of the component MDPs (so-called blackbox MDPs) is not known. We then extend this computation to work on networks of MDPs that share integer data variables of finite domain. We use a protocol which spreads information within a network as a case study to show the feasibility and effectiveness of our approach.
Original language | English |
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Title of host publication | 9th IEEE/ACM International Conference on Formal Methods and Models for Codesign, MEMOCODE 2011, Cambridge, UK, 11-13 July, 2011 |
Pages | 151-160 |
Number of pages | 10 |
DOIs | |
Publication status | Published - 2011 |
Externally published | Yes |