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Games and Markov Decision Processes with Mean-Payoff Parity and Energy Parity Objectives

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Mathematical and Engineering Methods in Computer Science (MEMICS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7119))

Abstract

In this paper we survey results of two-player games on graphs and Markov decision processes with parity, mean-payoff and energy objectives, and the combination of mean-payoff and energy objectives with parity objectives. These problems have applications in verification and synthesis of reactive systems in resource-constrained environments.

This work was partially supported by FWF NFN Grant S11407-N23 (RiSE) and a Microsoft faculty fellowship.

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Chatterjee, K., Doyen, L. (2012). Games and Markov Decision Processes with Mean-Payoff Parity and Energy Parity Objectives. In: Kotásek, Z., Bouda, J., Černá, I., Sekanina, L., Vojnar, T., Antoš, D. (eds) Mathematical and Engineering Methods in Computer Science. MEMICS 2011. Lecture Notes in Computer Science, vol 7119. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25929-6_3

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  • DOI: https://doi.org/10.1007/978-3-642-25929-6_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25928-9

  • Online ISBN: 978-3-642-25929-6

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