- Abstract:
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We study the complexity of central controller synthesis problems for finite-state Markov decision processes, where the objective is to optimize both the expected mean-payoff performance of the system and its stability. We argue that the basic theoretical notion of expressing the stability in terms of the variance of the mean-payoff (called global variance in our paper) is not always sufficient, since it ignores possible instabilities on respective runs. For this reason we propose alernative...
Expand abstract - Publisher copy:
- 10.1109/LICS.2013.39
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- Volume:
- abs/1305.4103
- Pages:
- 331-340
- Publication date:
- 2013-04-23
- DOI:
- ISSN:
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1043-6871
- URN:
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uuid:6c26d178-5cf4-414a-8171-9a3757b3d472
- Source identifiers:
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407462
- Local pid:
- pubs:407462
- Keywords:
- Copyright date:
- 2013
- Notes:
- Extended version of a paper presented at LICS 2013
Conference
Trading Performance for Stability in Markov Decision Processes
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