3 results
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 […]
Published on February 14, 2014
Krishnendu Chatterjee ; Luca de Alfaro ; Marco Faella ; Axel Legay.
We investigate logics and equivalence relations that capture the qualitative behavior of Markov Decision Processes (MDPs). We present Qualitative Randomized CTL (QRCTL): formulas of this logic can express the fact that certain temporal properties hold over all paths, or with probability 0 or 1, but […]
Published on May 4, 2009
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 […]
Published on August 13, 2019