March 18 – 23 , 2018, Dagstuhl Seminar 18121

Machine Learning and Model Checking Join Forces


Nils Jansen (Radboud University Nijmegen, NL)
Joost-Pieter Katoen (RWTH Aachen, DE)
Pushmeet Kohli (Google DeepMind – London, GB)
Jan Kretinsky (TU München, DE)

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Dagstuhl Report, Volume 8, Issue 3 Dagstuhl Report
Aims & Scope
List of Participants


This Dagstuhl Seminar aimed at bringing together researchers working in the fields of machine learning and model checking. Growing application areas for machine learning, such as autonomous driving, require the exclusion or likely avoidance of unsafe behaviors. An important question is then, how confidence in system behaviors obtained from machine learning can be transferred to formal verification. Vice versa, industrial usage of model checking still suffers from scalability issues for large applications. Leveraging the capabilities of machine learning to assess large data sets will help to enable the verification for more realistic systems.

Based on the concrete discussions and inputs from all the participants, we identified the following topics as great challenges to the combination of the fields of machine learning and model checking.

  • Safety Verification of Deep Neural Networks
  • Formal Program Synthesis and Analysis using Machine Learning
  • Representation of Strategies and Controllers
  • Explainable Artificial Intelligence
  • Challenges for Machine Learning in Motion Planning
  • Guarantees on Reinforcement Learning in Verification
  • Social and Legal Issues in Artificial Intelligence
  • Exploiting Weaknesses in Reinforcement Learning
Summary text license
  Creative Commons BY 3.0 Unported license
  Nils Jansen, Joost-Pieter Katoen, Pushmeet Kohli, and Jan Kretinsky


  • Artificial Intelligence / Robotics
  • Semantics / Formal Methods
  • Verification / Logic


  • Machine learning
  • Artificial Intelligence
  • Formal Methods
  • Formal Verification
  • Logics
  • Cyber-physical Systems
  • Quantitative Verification
  • Model Checking
  • Safety-critical Systems


In the series Dagstuhl Reports each Dagstuhl Seminar and Dagstuhl Perspectives Workshop is documented. The seminar organizers, in cooperation with the collector, prepare a report that includes contributions from the participants' talks together with a summary of the seminar.


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