Publication Details

Decentralized Planning Using Probabilistic Hyperproperties

ANDRIUSHCHENKO Roman, ČEŠKA Milan, FRANCESCO Pontiggia, MACÁK Filip and MICHELE Chiari. Decentralized Planning Using Probabilistic Hyperproperties. In: Proc. of the 24th International Conference on Autonomous Agents and Multiagent Systems. Detroit: International Foundation for Autonomous Agents and Multiagent Systems, 2025, pp. 1688-1697. ISBN 979-8-4007-1426-9.
Czech title
Decentralizované plánování za použití pravděpodobnostní hyperlogiky
Type
conference paper
Language
english
Authors
Andriushchenko Roman, Ing. (DITS FIT BUT)
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT)
Francesco Pontiggia (TU-Wien)
Macák Filip, Ing. (DITS FIT BUT)
Michele Chiari
Keywords

Probabilistic Hyperproperties, Decentralized Planning, Markov Decision Processes, Abstraction Refinement, Self-composition

Abstract

Multi-agent planning under stochastic dynamics is usually formalised using decentralized (partially observable) Markov decision processes (MDPs) and reachability or expected reward specifications. In this paper, we propose a different approach: we use an MDP describing how a single agent operates in an environment and probabilistic hyperproperties to capture desired temporal objectives for a set of decentralized agents operating in the environment. We extend existing approaches for model checking probabilistic hyperproperties to handle temporal formulae relating paths of different agents, thus requiring the self-composition between multiple MDPs. Using several case studies, we demonstrate that our approach provides a flexible and expressive framework to broaden the specification capabilities with respect to existing planning techniques. Additionally, we establish a close connection between a subclass of probabilistic hyperproperties and planning for a particular type of Dec-MDPs, for both of which we show undecidability. This lays the ground for the use of existing decentralized planning tools in the field of probabilistic hyperproperty verification.

Published
2025
Pages
1688-1697
Proceedings
Proc. of the 24th International Conference on Autonomous Agents and Multiagent Systems
Conference
24th International Conference on Autonomous Agents and Multiagent Systems, Detroit, US
ISBN
979-8-4007-1426-9
Publisher
International Foundation for Autonomous Agents and Multiagent Systems
Place
Detroit, US
BibTeX 
@INPROCEEDINGS{FITPUB13364,
   author = "Roman Andriushchenko and Milan \v{C}e\v{s}ka and Pontiggia Francesco and Filip Mac\'{a}k and Chiari Michele",
   title = "Decentralized Planning Using Probabilistic Hyperproperties",
   pages = "1688--1697",
   booktitle = "Proc. of the 24th International Conference on Autonomous Agents and Multiagent Systems",
   year = 2025,
   location = "Detroit, US",
   publisher = "International Foundation for Autonomous Agents and Multiagent Systems",
   ISBN = "979-8-4007-1426-9",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/13364"
}
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