All Stories

  1. Statistical Model Checking Beyond Means: Quantiles, CVaR, and the DKW Inequality
  2. What Are the Odds? Improving Statistical Model Checking of Markov Decision Processes
  3. Learning Algorithms for Verification of Markov Decision Processes
  4. Sound Statistical Model Checking for Probabilities and Expected Rewards
  5. SemML: Enhancing Automata-Theoretic LTL Synthesis with Machine Learning
  6. Quantitative Bounds on Resource Usage of Probabilistic Programs
  7. Playing Games with Your PET: Extending the Partial Exploration Tool to Stochastic Games
  8. Correct Approximation of Stationary Distributions
  9. Guessing Winning Policies in LTL Synthesis by Semantic Learning
  10. MDPs as Distribution Transformers: Affine Invariant Synthesis for Safety Objectives
  11. PET – A Partial Exploration Tool for Probabilistic Verification
  12. Index appearance record with preorders
  13. Of Cores: A Partial-Exploration Framework for Markov Decision Processes
  14. Satisfiability Bounds for ω-Regular Properties in Bounded-Parameter Markov Decision Processes
  15. Semantic Labelling and Learning for Parity Game Solving in LTL Synthesis
  16. Conditional Value-at-Risk for Reachability and Mean Payoff in Markov Decision Processes
  17. Owl: A Library for $$\omega $$-Words, Automata, and LTL
  18. Rabinizer 4: From LTL to Your Favourite Deterministic Automaton
  19. Efficient Strategy Iteration for Mean Payoff in Markov Decision Processes
  20. Index Appearance Record for Transforming Rabin Automata into Parity Automata
  21. Value Iteration for Long-Run Average Reward in Markov Decision Processes