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Markov Decision Processes with Multiple Long-run Average Objectives

Tomáš Brázdil ; Václav Brožek ; Krishnendu Chatterjee ; Vojtěch Forejt ; Antonín Kučera.
We study Markov decision processes (MDPs) with multiple limit-average (or mean-payoff) functions. We consider two different objectives, namely, expectation and satisfaction objectives. Given an MDP with k limit-average functions, in the expectation objective the goal is to maximize the expected&nbsp;[&hellip;]
Published on February 14, 2014

Quantitative Automata under Probabilistic Semantics

Krishnendu Chatterjee ; Thomas A. Henzinger ; Jan Otop.
Automata with monitor counters, where the transitions do not depend on counter values, and nested weighted automata are two expressive automata-theoretic frameworks for quantitative properties. For a well-studied and wide class of quantitative functions, we establish that automata with monitor&nbsp;[&hellip;]
Published on August 13, 2019

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