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ANDRIUSHCHENKO, R. ČEŠKA, M. JUNGES, S. KATOEN, J.
Originální název
Inductive Synthesis for Probabilistic Programs Reaches New Horizons
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
This paper presents a novel method for the automated synthesis of probabilistic programs. The starting point is a program sketch representing a finite family of finite-state Markov chains with related but distinct topologies, and a reachability specification. The method builds on a novel inductive oracle that greedily generates counter-examples (CEs) for violating programs and uses them to prune the family. These CEs leverage the semantics of the family in the form of bounds on its best- and worst-case behaviour provided by a deductive oracle using an MDP abstraction. The method further monitors the performance of the synthesis and adaptively switches between inductive and deductive reasoning. Our experiments demonstrate that the novel CE construction provides a significantly faster and more effective pruning strategy leading to an accelerated synthesis process on a wide range of benchmarks. For challenging problems, such as the synthesis of decentralized partially-observable controllers, we reduce the run-time from a day to minutes.
Klíčová slova
Probabilistic programs, Inductive Synthesis, Counterexamples, Probabilistic Model Checking
Autoři
ANDRIUSHCHENKO, R.; ČEŠKA, M.; JUNGES, S.; KATOEN, J.
Vydáno
10. 5. 2021
Nakladatel
Springer International Publishing
Místo
Cham
ISBN
978-3-030-72015-5
Kniha
International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS)
Edice
Lecture Notes in Computer Science
Strany od
191
Strany do
209
Strany počet
19
BibTex
@inproceedings{BUT171484, author="ANDRIUSHCHENKO, R. and ČEŠKA, M. and JUNGES, S. and KATOEN, J.", title="Inductive Synthesis for Probabilistic Programs Reaches New Horizons", booktitle="International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS)", year="2021", series="Lecture Notes in Computer Science", pages="191--209", publisher="Springer International Publishing", address="Cham", doi="10.1007/978-3-030-72016-2\{_}11", isbn="978-3-030-72015-5" }