activity
20162026
most citedStrategy Logic with Imperfect Information

35 citations · 56 across the 13 of their papers we have counts for

collaborators

14 papers

cs.GT2026

Positional Determinacy with Colored Vertices: a 1-to-2-Player Lift

Raphaël Berthon, Stéphane Le Roux

Positional determinacy of vertex-colored parity games was proved in the 1990s, which directly implies positional determinacy of edge-colored parity games. In 2006, it was shown tha…

cs.LO2026

Verification of Robust Multi-Agent Systems

Raphaël Berthon, Joost-Pieter Katoen, Munyque Mittelmann +1

Stochastic multi-agent systems are a central modeling framework for autonomous controllers, communication protocols, and cyber-physical infrastructures. In many such systems, howev…

cs.GT2025

A Direct Reduction from Stochastic Parity Games to Simple Stochastic Games

Raphaël Berthon, Joost-Pieter Katoen, Zihan Zhou

Significant progress has been recently achieved in developing efficient solutions for simple stochastic games (SSGs), focusing on reachability objectives. While reductions from sto…

cs.GT2024

Markov Decision Processes with Sure Parity and Multiple Reachability Objectives

Raphaël Berthon, Joost-Pieter Katoen, Tobias Winkler

This paper considers the problem of finding strategies that satisfy a mixture of sure and threshold objectives in Markov decision processes. We focus on a single -regular object…

cs.LO2024

Natural Strategic Ability in Stochastic Multi-Agent Systems

Raphaël Berthon, Joost-Pieter Katoen, Munyque Mittelmann +1

Strategies synthesized using formal methods can be complex and often require infinite memory, which does not correspond to the expected behavior when trying to model Multi-Agent Sy…

cs.FL2021

Active Learning of Sequential Transducers with Side Information about the Domain

Raphaël Berthon, Adrien Boiret, Guillermo A. Perez +1

Active learning is a setting in which a student queries a teacher, through membership and equivalence queries, in order to learn a language. Performance on these algorithms is ofte…

cs.LO2020

Mixing Probabilistic and non-Probabilistic Objectives in Markov Decision Processes

Raphaël Berthon, Shibashis Guha, Jean-François Raskin

In this paper, we consider algorithms to decide the existence of strategies in MDPs for Boolean combinations of objectives. These objectives are omega-regular properties that need…

cs.LO2020

Strategy Logic with Imperfect Information

Raphaël Berthon, Bastien Maubert, Aniello Murano +2

We introduce an extension of Strategy Logic for the imperfect-information setting, called SLii, and study its model-checking problem. As this logic naturally captures multi-player…

cs.FL2020

Alternating Tree Automata with Qualitative Semantics

Raphaël Berthon, Nathanaël Fijalkow, Emmanuel Filiot +7

We study alternating automata with qualitative semantics over infinite binary trees: alternation means that two opposing players construct a decoration of the input tree called a r…

cs.LO2019★ 3 cited

Monadic Second-Order Logic with Path-Measure Quantifier is Undecidable

Raphaël Berthon, Emmanuel Filiot, Shibashis Guha +5

We prove that the theory of Monadic Second-Order logic (MSO) of the infinite binary tree extended with qualitative path-measure quantifier is undecidable. This quantifier says that…

cs.LO2018★ 35 cited

Strategy Logic with Imperfect Information

Raphaël Berthon, Bastien Maubert, Aniello Murano +2

We introduce an extension of Strategy Logic for the imperfect-information setting, called SLii, and study its model-checking problem. As this logic naturally captures multi-player…

cs.LO2018★ 11 cited

Decidability results for ATL* with imperfect information and perfect recall

Raphaël Berthon, Bastien Maubert, Aniello Murano

Alternating-time Temporal Logic (ATL*) is a central logic for multiagent systems. Its extension to the imperfect information setting (ATL*i ) is well known to have an undecidable m…

cs.LO2017★ 6 cited

Threshold Constraints with Guarantees for Parity Objectives in Markov Decision Processes

Raphaël Berthon, Mickael Randour, Jean-François Raskin

The beyond worst-case synthesis problem was introduced recently by Bruyère et al. [BFRR14]: it aims at building system controllers that provide strict worst-case performance guaran…

cs.LO2016★ 1 cited

Quantified CTL with imperfect information

Raphaël Berthon, Bastien Maubert, Aniello Murano

Quantified CTL (QCTL) is a well-studied temporal logic that extends CTL with quantification over atomic propositions. It has recently come to the fore as a powerful intermediary fr…