5 results
Krishnendu Chatterjee ; Laurent Doyen ; Thomas A. Henzinger ; Jean-Francois Raskin.
We study observation-based strategies for two-player turn-based games on graphs with omega-regular objectives. An observation-based strategy relies on imperfect information about the history of a play, namely, on the past sequence of observations. Such games occur in the synthesis of a controller […]
Published on July 27, 2007
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 ; Zuzana Křetínská ; Jan Křetínský.
We consider Markov decision processes (MDPs) with multiple limit-average (or mean-payoff) objectives. There exist two different views: (i) the expectation semantics, where the goal is to optimize the expected mean-payoff objective, and (ii) the satisfaction semantics, where the goal is to maximize […]
Published on July 3, 2017
Krishnendu Chatterjee ; Thomas A. Henzinger ; Rasmus Ibsen-Jensen ; Jan Otop.
The edit distance between two words $w_1, w_2$ is the minimal number of word operations (letter insertions, deletions, and substitutions) necessary to transform $w_1$ to $w_2$. The edit distance generalizes to languages $\mathcal{L}_1, \mathcal{L}_2$, where the edit distance from $\mathcal{L}_1$ to […]
Published on September 13, 2017
Krishnendu Chatterjee ; Monika Henzinger ; Veronika Loitzenbauer.
The computation of the winning set for parity objectives and for Streett objectives in graphs as well as in game graphs are central problems in computer-aided verification, with application to the verification of closed systems with strong fairness conditions, the verification of open systems, […]
Published on September 26, 2017