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Jean-François Raskin

Researcher at Université libre de Bruxelles

Publications -  306
Citations -  8087

Jean-François Raskin is an academic researcher from Université libre de Bruxelles. The author has contributed to research in topics: Decidability & Markov decision process. The author has an hindex of 47, co-authored 293 publications receiving 7429 citations. Previous affiliations of Jean-François Raskin include Free University of Brussels & Université de Namur.

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Generalized Mean-payoff and Energy Games

TL;DR: In this paper, the authors showed that the problem of deciding the existence of a winning strategy for the protagonist is NP-complete for both generalized mean-payoff and energy games with finite-memory strategies.
Proceedings ArticleDOI

Minimizing Regret in Discounted-Sum Games

TL;DR: Algorithms are given for the general problem of computing the minimal regret of the controller as well as several variants depending on which strategies the environment is permitted to use in discounted-sum games played on weighted game graphs.
Posted Content

Controllers with Minimal Observation Power (Application to Timed Systems)

TL;DR: In this article, the problem of controller synthesis under imperfect information in a setting where there is a set of available observable predicates equipped with a cost function is addressed, and the problem is the computation of a subset of predicates sufficient for control and whose cost is minimal.
Journal ArticleDOI

Minkowski Games

TL;DR: A natural representation of boundedness games yields coNP-completeness, whereas the safety games are undecidable; a general characterizations of which player can win such games are provided.
Book ChapterDOI

Admissible Strategies in Timed Games

TL;DR: It is shown that admissible strategies may not exist in timed games with a continuous semantics of time, even for safety objectives, and symbolic algorithms are provided to solve the model-checking problem under admissibility and the assume-admissible synthesis problem for real-time non-zero sum n-player games for safety objective.